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Company Presentation

2016

FLYBY S.r.l., via Carlo Puini 97 int. 26/27, 57128 Livorno, ItalyPI (VAT): 01368800494 Tel: (+39) 0586-505016 Fax: (+39) 0586-502770

e-mail: [email protected] web: www.flyby.it

Contents

1. Company Profile2. Vision3. Strategy4. Competences5. Key Staff6. Technological roadmap7. Company‘s history key facts8. Strategic Business Unit and Controlled Corporations: Products and Customers8.1 FlySight8.1.1 FlySight Products8.1.2 Main Customers - Defence and Security sector8.2 Flyby Space8.2.1 Flyby Space Products

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8.2.2 Main Customers - Space sector8.3 siHealth8.3.1 siHealth Products8.3.2 Main Customers - Healthcare Sector8.4 FishSat8.4.1 FishSat Products8.5 i-EM8.5.1 i-EM Products 8.5.2 Main Customers - Energy Sector9. Partners9.1 Flyby’s main industrial partners9.2 Flyby’s main scientific partners10. Research & Development10.1 R&D projects10.2 Publications

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1. Company profile

Flyby is an independent Italian company, specialized in the development of Decision Support Systems (DSSs) exploiting edge technologies in the field of Remote Sensing, Signal Processing and Big Data Analytics.

The company has been founded in 2001 with the aim to develop innovative solutions exploiting data analytics. Today we are operating worldwide providing our systems and services in different scenarios and market fields.

The company is managed by the founder Dr. Emilio Simeone (M.S. in Physics, Ph.D. in Applied Optics) and the staff is composed by experts with M.S./Ph.D. level education and skills in Computer Science, Physics, Telecommunications, Electronics, Signal Processing Engineering and Artificial Intelligence.

Flyby operates in five different business sectors (Defence, Space, Health, Maritime & Fishing, Energy) with five related Strategic Business Units (SBUs) and Controlled Corporations: FlySight, siHealth, Flyby Space, FishSat and i-EM. i-EM (Flyby 70%, Enel 30%) and FishSat (Flyby 60%, PxL 40%) are currently two joint ventures founded in 2012 and 2016 respectively. siHealth Ltd is a UK company founded in 2015 (Flyby 100%). Transversally to the five SBUs, the Research & Development Department ensures a continuous growth of the edge competences in several technological fields.

DEFENCE SPACE

HEALTH

ENERGY

MARITIME FISHING

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Since its foundation, the Company has been continuously involved in a wide range of R&D projects funded by the European Space Agency (ESA), the Italian Space Agency (ASI), the European Commission (EC) and by other regional agencies. These participations allowed Flyby to bring state of art technologies into the market.All the processes in the Company are managed according to UNI EN ISO9001:2008 quality standards. For the more demanding Military and Space projects Flyby applies the rules and the quality requirements set down respectively by the MIL-STD-498 and by the ECSS standards.



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The company vision is based on the new frontiers opened by many kind of devices, especially imaging systems, in providing data to be analysed, fused and elaborated according to physical modelling, artificial intelligence and machine learning methods.The aggregated knowledge becomes cognition when the system is able to solve and think on this basis, finally providing a prediction for supporting decision making. This is common to many application fields and Flyby is focusing on these cognitive processes from data to decisions, offering high-value solutions especially in Defence & Security, Healthcare and Energy sectors where big data analytics methodologies running on a basis of heterogeneous data are mainly required.

Flyby’s solutions are designed to support a final decision: in Flyby we start from data and, by means of our expertise, we supply solutions in different market fields bringing a piece of future in the present.

2. Vision

Data is raw, it hasn’t meaning by itself. Information is data that acquired meaning by means of relational connections. This “meaning” could be useful or not. Knowledge is an appropriate collection of useful information. Cognition is the capability to understand the knowledge.Decision is an extrapolative, non-deterministic and non-probabilistic process. It relies on all the previous levels of situation awareness for the implementation of optimal control / actions.

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Flyby’s strategy consists in a plan for growing on three different aspects:

• Become the excellence in the cognitive processes/capabilities management with a continuous investment in R&D and partnerships with the leading edge of the research organizations at global level.

• Differentiate ourselves from competitors by building up a reputation thanks to the capability to learn from the multi-disciplinary fields in which the Company group is active by exploiting an open-innovation approach.

• Develop a new digital communication and marketing approach for business development, allowing customers to trust in the company solutions by indirect quotations of leader customers.

3. Strategy



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4. Competences

Flyby’s cutting edge competences are complex systems modelling and the development of dedicated algorithms for data processing, especially those coming from optical sensors. Such capabilities stem from the multi-disciplinary background of Flyby’s R&D personnel, who is active both in assimilating the latest achievements from science and in collaborating with high-level public/private research centres, thus achieving the goal of designing and implementing innovative solutions tailored to any specific application.

Flyby’s key competences are in the following fields:

• Optical Physics• Signal Processing and Computer Vision• Geomatics• Embedded Systems• Big Data Analytics• Simulation

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So far Flyby developed a deep knowledge of the following tools and instruments:

Development of SW: C#, C++, ANSI C, IDL/ENVI, Matlab, R, ASP.NET, Java, Java Script, Python, PHP and others;Embedded Systems: Linux, WindRiver, DSP and GPU;Design of Big Data Analytics: Cloud distribute services, Azure platform, Cassandra, Hadoop;Development of GIS & WebGIS systems: POSTGIS, QGIS, MapServer, GeoServer, GDAL, OPeNDAP, Pyxis, ESRI ArcGIS, Rasdaman;Development of WebServices: PHP, Json;Mobile APP development: Android and IOS native, Ionic, Cordoba, Phone gap;Simulations: Simulink, Presagis, DIS/HLA, Openflight.

Flyby gained relevant experience in the following scientific fields:

Machine Learning: Neural network, Fuzzy logic, Support Vector Machines (SVM);Information Fusion: Data Fusion, Features Fusion, Decision Fusion, Image Fusion, Video Fusion, Heterogeneous Fusion;Statistical Data Analysis: PCA, Bayesian Analysis and Classification, Markov Random Fields, Kalman Filters, Particle Filters;Optical Phenomena Modelling, Analysis and Simulation: modelling of solar light interaction with atmosphere/land/sea and other turbid media, satellite optical payload operations simulation (e.g. radiative transfer models, soil reflectance, optical calibration), Sensors Simulation;Optical Spectroscopy: Differential Optical Absorption Spectroscopy, FT-IR, Fluorescence, LIDAR, Hyperspectral and Multispectral Analysis;Computer Vision: Object Detection and Classification, Features Estimation, Optical Flow, Camera Calibration, Stereo Vision, SLAM, Structure from motion;Sensor Networks and Internet of Things: development of systems exploiting in-situ sensor networks and data collection by wireless links (e.g. GPRS/LTE mobile).Embedded computing and video processing: in more than 15 years of experience, Flyby has grown in the field of embedded solutions for machine vision systems. So far we gained deep knowledge in algorithms optimization and coding for several different platforms (DSP, DMSOC, GPU).



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Flyby’s main related experiences are reported in the following table:

Flyby answers to specific needs in different application fields by exploiting these competences, such as:

• Capability to develop SW and systems according to MIL-STD-498;• Capability to develop SW and systems according to European space standards (ECSS);• Electro-optical mission analysis and design (e.g. orbital prediction and determination, ground visibility, EO sensors performances simulation);• Capability to develop systems according to STANAG guidelines.

360° Anti-collision surrounding vision system. Multiple video sensors with fish-eye lenses are fused together. A real time dedicated algorithm is applied to avoid vehicle collision.

Automotive-collision avoidance

Video enhancing

Application Field PlatformEmbedded Solution

DSP Texas Instruments

TMS320DM642

Airborne Remote Sensing

DMSoC Texas Instruments

TMS320DM368

Autonomous Navigation

system

GPU Nvidia Tegra K1

Real time co-registration and georeferencing of multispectral cameras. A dedicated real time algorithm is applied to video for stabilising the signal captured by the multispectral video sensors.

SLAM techniques have been implemented to develop a cognitive system based on passive stereo optical sensors in the field of autonomous aerial platform navigation.

Dual IR (SWIR- LWIR) video fusion system.

Video stabilization system.

Autofocus system of IR sensor.

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5. Key Staff

Flyby is a company of people, which are our bigger strength. Each of us believes in his work, relying on the support from the overall company team.

Dr. Emilio Simeone has over 20 years of experience in the field of environmental monitoring techniques, atmospheric modelling, optical remote sensing. He started with a Laurea degree (M.S.) in Physics at the University of Pisa (Italy) and a Ph.D. in Applied Optics at the University of Florence (Italy). He is author or co-author of more than 20 international papers and two patents. Dr. Simeone has been also Officer in the Italian Navy Staff (Stato Maggiore). His experience ranges from the aerospace sector, where he was a researcher in Aeritalia (now Leonardo/Finmeccanica) for parallel computing and image processing, to microgravity missions analysis and on-board spacecraft electro-optical systems in Kayser Threde group, being involved in many European Space Agency and Italian Space Agency scientific programs.In 2001 he founded Flyby S.r.l. in Livorno (Italy). He attended the Executive Master in Innovation Management of the S. Anna Institute of Pisa (Italy) and the Enel University Management School in Rome (Italy). In 2012 he founded i-EM S.r.l. (intelligence in Energy Management), while in 2015 he founded siHealth Ltd. and in 2016 BestFish S.r.l., so having more than 10 years of experience in company management.

Dr. Andrea Masini received his Laurea degree (M.S.) in Telecommunications Engineering and his Ph.D. degree in Remote Sensing from the University of Pisa (Italy) in 2004 and 2008, respectively. He worked at the University of Pisa as associate researcher in the field of data and video fusion, and he has been external consultant of the Finmeccanica group (now Leonardo) in the field of electro-optical sensors signal processing from 2003 to 2008. He is now working as Chief Technical Officer (CTO) at Flyby S.r.l. (Livorno, Italy). His current research interests concern with image processing, environmental monitoring from remotely sensed images, pattern recognition and information fusion. He has been Project Manager of international and national funded projects. He is author or co-author of more than 20 scientific papers in journals and conference proceedings.

Dr. Benedetto Michelozzi received his Laurea degree (M.S.) in Physics from the University of Pisa (Italy) in 1989. He worked as researcher in Large and SME companies increasing his knowledge from the radio frequency and electromagnetic compatibility to the optical characterization and data analysis.He has been a co-founder of Polab S.r.l. (an Italian SME specialized in electromagnetic compatibility measurements). Currently he is a key person in the Flyby R&D Team. His current research interests concern with the development of remote sensing HW/SW applications, acquisition/processing of Visible/IR/Multispectral/Hyperspectral images, data fusion and georeferencing.



6. Technological roadmap

The roadmap is based on the improvement and application extension of the technological IPRs already developed inside the company.

Flyby is investing continuously in the following core technologies:

• Passive systems for real-time optical detection & ranging and 3D reconstruction of moving objects; • Multi-sensor imaging fusion COTS ( e.g. hyperspectral – SAR); • Cognitive processors and decision support systems as plug-in modules of 3D geo-exploitation toolbox oriented to the management of collaborative moving multi-platforms; • Imaging assisted navigation systems for unmanned platform.

Emilio Simeone, CEO

• Ph.D. Physicist in Applied Optics• 10 years experience in company management

Dr. Pierre - Philippe Mathieu

Earth Observation & Applications Department

ESA/ESRIN

C.F. Maurizio Demarte

Hydrographic Institute

Italian Navy

Andrea Masini, CTO

• Ph.D. Remote Sensing• TLC Engineer• 10 years experience in ICT remote sensing solution

Benedetto Michelozzi, R&D

• Senior Physicist• SW & Optical Signal Processing

Multidisciplinary Team

Other Ph.D. staff in Physics and Automation/Information Engineering from

University of Pisa (Italy) and University of Milan (Italy)

Management Advisors

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7. Company‘s history key facts

Flyby is founded in the garage of Dr. Emilio Simeone after his Ph.D. in Applied Optics obtained at the University of Florence on atmosphere physics and photobiology

2001

2002

2004

2006

2008

2009

2010

2015

2016

2012

SpectraMED - the very first portable & friendly spectroradiometer for photo dermatology applications has been launched in the market

Flyby signs the first contract with ESA for the development of solar radiation real-time services

Flyby enters in the ESA project ENVISOLAR for satellite-based services dedicated to photovoltaic plants management. Enel S.p.A is the key user of Flyby

Flyby provides the Italian Navy with integrated remote sensing services for 3D bathymetry maps of shallow waters by exploiting satellite imagery

Flyby provides a hyperspectral sensor simulator for the UAV Simulator Lab of the Aircraft Division - Alenia Aermacchi in Turin

The very first oil spill satellite optical detection processor, developed by Flyby, runs in the Space Geodesy Centre of Matera (Italy) as a stand-alone SW program. ESA certifies that Flyby is the very first company to have succeeded in exploitation of the optical satellite multispectral imagery for oil spill detection

FishSat S.r.l. – owned by Flyby and by an Italian telecommunication SME – signs a MoU for the exploitation of the results of the ESA project iFishSAT for the fish boats fleet manage-ment and the certified traceability / e-marketing of fresh fish

i-EM S.r.l. – intelligence in Energy Management - start-up is founded by Flyby. The start-up wins the Enel Lab award and Enel S.p.A. enters as shareholder of the new company for smart grid management by exploiting satellite data

siHealth Ltd. – Sensing & Intelligence for Healthcare - is founded in UK . The HappySun App – for public solar photoprotection - is launched on the market

FactsDate



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8. Strategic Business Unit and Controlled Corporations: Products and Customers

8.1 FlySight

The FlySight Strategic Business Unit operates in the field of Defence and Security. In particular the FlySight team offers integrated solutions of data exploitation, image processing, avionic data/sensors fusion. Our products are mainly dedicated to the exploitation of data captured by airborne sensors. Our solutions are intended both for the on-ground as well as for the on-board segments.

8.1.1.1 OpenSIGHT

OpenSIGHT is a geo-exploitation toolbox that represents a new environment concept for the definition of Decision Support Systems.OpenSIGHT has been developed by following the STANAG guidelines and rules in more than 10 years of expertise gained in interfacing SW tools for the processing of airborne data sensors and avionics information.

The instruments and products developed for this sector can find application as dual use tools also in many civil fields like environmental monitoring, oil & gas, precision farming and maritime/coastal planning.

8.1.1 FlySight Products

The main Products are:

• OpenSIGHT• SW tools for Embedded systems and OpenSIGHT Plugins • MicroEYE• PSODAR

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OpenSIGHT is compliant with the following STANAG and military standard:

• STANAG 7023 (primary image format)• STANAG 4545 (secondary image format) [MIL-STD-2500C, NITF 2.1]• STANAG 3277 (air collection tasking message)• STANAG 4609 (motion imagery systems) [MISB ST-0601.8, MISB ST-0102.11]• STANAG 4607 (ground moving target indicator format, GMTI)• STANAG 4586 (standard interface for UAV systems)• STANAG 4676 (ISR tracking standard)• MIL-STD 2525C (military symbolism)• MIL-STD 2301 (CGM, vector graphics) [ISO/IEC-8632]



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8.1.1.2 OpenSIGHT Plugins and COTS Processing Tools

Our expertise has been exploited for the development of a suite of SW tools, immediately compatible with the OpenSIGHT infrastructure but also available as COTS to be integrated in third-party systems.

Processing tools for real-time processing: • FSR Toolbox Fog Suppression Retinex• IRE Toolbox InfraRed Enhancing• RTLF Toolbox Real Time Laplacian Fusion• TRK Toolbox Real Time Video Tracking • E-STAB Toolbox Electronic stabilization • RTM Toolbox Real Time Mosaicing• SLAM Toolbox Localization And Mapping• APR Toolbox Aircraft Position Reconstruction• ATR Toolbox Automatic Target Recognition

Processing tools near real-time processing:

• SR Toolbox Super Resolution• FR Toolbox Flight Replanning

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Processing tools for post-processing analysis:

• OM Toolbox Ortho-Mosaic Toolbox• 3D Toolbox 3D Reconstruction from Imagery• PGEO Toolbox Georeferencing Push-broom Data

Processing Tools for simulations:

• HS Sensor Hyperspectral Sensor Simulator

8.1.1.3 MicroEYE

MicroEYE is a suite of special sensors for mini & micro Unmanned Airborne Systems (UASs) with the following features:

• Small• Lightweight• Low power consumption

8.1.1.4 PSODAR

The PSODAR System has been developed for the detection and tracking of a target. The system is composed by a set of cameras observing the same scene from slightly different point of views.PSODAR allows a real-time depth estimation through geometric triangulation. The PSODAR system allows the detection of a target and the calculation of both position and distance.



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8.1.2 Main Customers – Defence and Security sector

The top-management staff has been directly involved in the Defence & Security sector. So far Flyby established several relationships with both the Italian Navy and the Italian Defence Staff (SMD - Stato Maggiore della Difesa – the Italian Interforce Central Command). Moreover Flyby became partner of the Remote Sensing Department of the Italian Air Force for the real-time acquisition and processing of the MSG (Meteosat Second Generation) satellite data.

Italian Navy Flyby provided the Italian Navy with integrated remote sensing services in different maritime and coastal scenarios, like border security enforcement, maritime traffic surveillance, identification of dangerous events or illegal activities potentially harmful for the safety of citizens and for the environment.

Italian Coast Guard Flyby supplied several remote sensing systems to Italian Coast Guard. Moreover Flyby installed a complete Remote Sensing Laboratory at the Naval Academy in Livorno (Italy), provided with HW&SW facilities for the processing of airborne multispectral/IR imagery aimed to security applications.

Leonardo/Finmeccanica – Aircraft Division (former Alenia Aermacchi)Flyby has been involved in the development of sensor simulators for the UAV Simulator systems of the Aircraft Division - Alenia Aermacchi. For example Flyby supplied and integrated his HS Sensor Toolbox. Flyby collaborates in many Research and Development Projects within the Alenia Aermacchi teams (e.g. SMAT F2, founded by the Piedmont Region).

Leonardo/Finmeccanica- Airborne & Space Systems Division (former SelexES and previously Selex Galileo and Galileo Avionica)Leonardo/Finmeccanica is one of the more important customers of Flyby in the Defence and Security sector. So far Flyby has been involved in many projects for the development of SW for data/sensor processing related to electro-optical sensors and airborne payloads.

The main solutions developed by the FlySight team for the Airborne & Space Systems Division are the following: IR CAMERA ERICA, ERICA plus, ERICA II:

• Development of the autofocus system• Development of the auto-calibration system • Development of the image local contrast enhancement system

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Hyperspectral Sensor SIMGA, SPIDER:

• Customization of the exploitation station• Development of the SW for georeferencing and orthorectification of push-broom data• Development of the SW for the optical calibration (boresight angle estimation from data)• Development of the data format infrastructure for hyperspectral data elaboration (HDF5 format adopted)• Study of possible alternative solutions for the HARS system based both on MEMS and on low-cost inertial sensors coupled to GPS receivers.

Piaggio P1HH-P2HH:

• Development of the real-time automatic mission re-planning

SkyISTAR multi-mission integrated sensors system:

• Development of the overall Mission Data Exploitation Subsystem (based on OpenSIGHT)• Integration of several STANAG and military standards for data interface (adopting the OpenSIGHT solution)• Development of several on-board functionalities:• Real Time Data Fusion• Real Time Data Mosaicing• Real Time Target Detection, Classification and Behaviour Analysis• Real Time Position Reconstruction from Optical Sensors Data• Real Time 3D Object Modelling• Real Time Mission Re-planning• Development of several on-ground functionalities:• Data Fusion• Data Mosaicing and Georeferencing• 3D Reconstruction• Anomaly Detection and Information Fusion

All the activities mentioned above have been developed and integrated in Leonado/Finmeccanica’s systems under the supervision and responsibility of the CTO of Flyby, Dr. Andrea Masini, from 2004 to 2016. Some of these activities are currently under development.



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8.2.1 Flyby Space Products

Flyby provides several products that have been developed thanks to the relationships with the Space Agencies.

Earth Observation Products for Costal & Maritime Environmental Assessment

• Shallow water bathymetry map• Turbidity maps• Ocean colour parameters maps (e.g. chlorophyll A, suspended matters, surface temperature)• Off-shore wind, wave and currents maps

Worldwide Real-Time Earth Observation Products (15 minutes update in Africa and Europe, 30 minutes update elsewhere)

• GHI/BNI (Global Horizontal Irradiance, Beam-Direct Normal Irradiance) Maps• UV (Ultraviolet) Radiation Maps

8.2 Flyby Space

All Flyby’s Strategic Business Units derive from company’s expertise in the Space sector. Since 2003 Flyby has started to work directly with the European Space Agency (ESA) and since 2005 with the Italian Space Agency (ASI).Flyby developed several added value downstream services of remote sensing for the Agencies, where the knowledge of satellite sensors and the capability to process /analyse data is a key element.

In the last years Flyby also performed for the Agencies several projects where Telecommunication satellites and the GNSS system had an important role.Moreover the Space team has been involved as subcontractor by large companies in the development of components for Level 1 and Level 2 ground processors of space optical sensors.

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High Resolution Imagery

• Flyby distributes High Resolution Satellite Imagery



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8.2.2 Main Customers – Space sector

ESA (European Space Agency)Flyby has been involved in many projects funded by ESA, also as prime contractor. The typical aim of such projects has been to setup valuable information products exploiting EO satellite data provided by ESA/EUMETSAT/Copernicus in order to satisfy the needs of end-users (e.g. big companies). End-users may benefit from the adoption of such products in their routine processes and may then decide to purchase them. All such projects have been completed successfully. ASI (Italian Space Agency)Flyby delivered to ASI and installed in the Space Geodesy Centre of Matera (Italy) a stand-alone SW program for the detection and classification of oil slicks at sea. The SW processes ESA and NASA EO satellite optical imagery with the aim to report the detected slick features to the Italian Ministry of the Environment. The oil slick detection reliability was validated by in-situ inspection performed by a boat.

Thales Alenia Space Flyby has been involved in the development of a prototype digital camera system for supporting the landing on Mars planet, including flight embedded SW for real-time image processing.

Leonardo/Finmeccanica- Airborne & Space Systems Division (former Selex ES and previously Selex Galileo and Galileo Avionica)Flyby has been involved in the following space programs:

• SHALOM Mission – Italian/Israeli mission for the development of an hyperspectral satellite system • 3MI Sensor – development of methodologies for straylight correction

Main Customers of the Flyby Space products:

• Italian Ministry of Environment, Land and Sea (MATTN)• Lombardy Region • Regional Agency for Environmental Protection of Tuscany (ARPAT)• Regional Agency for Environmental Protection of Sicily• Versilia Tourism Agency (APT Versilia)• Bastia Chamber of Commerce (Corsica)

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8.3.1 siHealth Products

siHealth introduces new solutions both in the sector of decision support systems dedicated to healthcare prevention and in the professional diagnostic sector for physicians and pharmacists.

Healthy sunbathing and skin cancer prevention: the HappySun app

• Satellite-based real-time UV dosimetry (first worldwide solution)• Skin type assessment and Minimal Erythema Dose (MED) calculation• Identification of the recommended Sun Protection Factor (SPF)• Safe sun exposure time provision with pause/resume function and visual/sound alert at the end• Branded sunscreen products line selection and geo-marketing• Business intelligence (statistical analysis of the data retrieved)

An Integrated Digital System for Pharmacies: the siSkin-Pharma suite for contactless diagnostics

• Sensitive skin index diagnostics• Solar photo protection consultancy• Basal skin colour & pigmentation dyschromia analysis• Skin hydratation level analysis• Acne level analysis• Skin ageing level analysis• Business analytics solutions

8.3 siHealth

siHealth is the Flyby’s Strategic Business Unit dedicated to health. All the products are based on the application in the Health & Wellness sector of Flyby’s consolidated expertise in image processing and Earth Observation, providing very innovative smart solutions for diagnostics and intelligence in healthcare. Currently siHealth is a spin-off company based in Harwell (UK) that is owned by Flyby (100%).



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8.3.2 Main Customers- Healthcare Sector

The main customers of siHealth’s products are:

• Pierre Fabre (France)• Alliance Healthcare (Italy)• Hospital Physiotherapy Institutes (IFO) “San Gallicano” (Italy)• “ACM- Associazione contro il melanoma” (Italian Association Against Melanoma, Italy)• National Cancer Institute (Italy)

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from end to end, the fisheries production and commercial (value) chain, thus transforming the seafood trade in Europe from a local activity to a cohesive continent–wide activity featuring more balanced markets and more stable prices for fresh seafood. Its services are mainly focused on the coastal waters of the Mediterranean sea addressing issues such as improvement in product traceability, security aimed to reducing illegal unregulated fishing activities and productivity estimation services for sustainable fisheries management.

8.4.1 FishSat Products

• FishSat Box• FishSat Tablet• FishSat Fishing Manager• FishSat E-commerce.• FishSat Quality Mark

8.4 FishSat

FishSat Strategic Business Unit is a joint venture company controlled by Flyby. The joint venture is owned by Flyby (60%) and PxL (40%).FishSat has been founded in 2016 following two ESA founded projects: FishSAT and i-FishSAT.The FishSat SBU supplies integrated services that interconnects,

Tablet

Fishing Manager

Box

E-commerce



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start-up in the energy field .

Public and private players require expertise in innovation, reliability and risk minimization in the following areas:

• Distributed generation from renewable sources;• Smart grids and energy storage systems;• Energy efficiency, control and optimization of energy consumption;• Electric vehicles and sustainable mobility.

i-EM has a multi-disciplinary expertise combined with passion for technology innovation and for the preservation of Earth’s energy resources.The whole i-EM’s infrastructure has been developed following the philosophy of Business Intelligence (BI) in order to transform data into knowledge and provide decision support systems.The success of this implementation is the use of techniques for historicizing, analysing and presenting data in order to support decision making in energy management.The i-EM’s Business Intelligence technology consists of three layers: the data layer, the analysis layer and the presentation layer.i-EM exploits Big Data Analytics systems to manage all the information acquired and processed (georeferenced within i-EM’s spatial database).i-EM’s services run on a IaaS (Infrastructure as a Service) infrastructure with the following features:

• Scalability and adaptability to customer needs;• High reliability (SLA of 99.9%, high performances guaranteed for the provision of services);• Redundancy (distributed architecture in the cloud across multiple servers worldwide).

8.5 i - EM

Since 2005 the i-EM Strategic Business Unit has been dedicated to energy management solutions for renewable energy projects. In 2012 i-EM became a joint venture Large Corporation and it’s owned and controlled by Flyby (70%) and Enel (30%).

i-EM won the EnelLab 2013 competition for the most innovative

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8.5.1 i-EM Products

i-EM offers a complete solution for the management of Renewable Energy (RE) generation: monitoring of RE plants, storage systems, energy efficiency and energy forecast.

E-Controller:Solution for renewable energy plants owners and operators. It’s the ideal tool both for prosumers and market operators. Thanks to an advanced big data analytics approach, E-Controller is a decision support tool providing accurate, up-to-date and necessary information (Business Intelligence) such as performances, diagnostics and energy production predictions.

E2Manager:It is a perfect solution for Energy Managers and ESCO. It provides monitoring, analysis and energy efficiency control services, ideal for prosumers needs. E2Manager provides power yield forecast of renewable energy plants. This solution allows an active management of energy efficiency.

RES2GRID:It is the solution for the forecast and nowcast of energy renewable generation: solar, wind and hydro. It’s a Decision Support System for Virtual Power Producers. It allows a smart grid approach to the management of micro-networks and their integration with highly distributed power generation, electric vehicles and renewable energy sources.

8.5.2 Main Customers –Energy Sector

i-EM’s customers are big energy companies:

EPC Contractor and System Integrator • Enel Green Power • Martifer Solar • Enerray • Global Power Service • Energie del Sole / Solarlight - Gruppo Angelantoni

Public Administrations • Lombardy Region • University of Pisa• Assolombarda

Energy Service Companies • Generplus • Rastello Group

Manufacturers • Answer Drives

Installers • Manutencoop • Magaldi

Distributors • Enel.si • Sonepar



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9.1 Flyby’s main industrial partners

• SatOC - Satellite Oceanographic Consultants Ltd. (UK) Satellite remote sensing of marine environment

• PxL (Italy) Telecommunication solutions

• Enel (Italy)Energy management solutions

• S&T (NL)Space and On-ground EO Processor

• Epsilon (GR)WebGis HMI

9.2 Flyby’s main scientific partners

• INOA - National Institute of Applied Optics (Italy) Complex optics systems design

• NURC - NATO Undersea Research Centre (Italy) Marine remote sensing

• Department of Information Engineering of the University of Pisa (Italy) Data processing

• CNIT (Italy) Radar Systems

• CNR/IFAC - Institute of Applied Physics “N. Carrara” (Italy) Remote sensing and optical environmental systems

9. Partners

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• CNR - Institute of Biometeorology (Italy) Biometeorology and environment

• KNMI - Royal Netherlands Meteorological Institute (Netherlands) Assimilation and classification of satellite data

• DLR - German Aerospace Centre (Germany) Design and manufacturing of space systems

• Department of Physics of the University of Milan (Italy)Radiative transfer modelling

• Department of Physics of the University of Pisa (Italy)Solar radiation measurement and modelling

• Public Health England (PHE, UK)Healthcare services

• Federico II University of Naples - Dermatology Clinic (Italy) Dermatological diagnostics and UV damage prevention

• Italian Regional Agencies for Environmental Protection (ARPAs, Italy) Ultraviolet radiation modelling

• CNR - Institute of Biophysics (Italy) Environmental photobiology

• Energy and Systems Department (DESTEC) of the University of Pisa (Italy)Energy management



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AURORA2016-2019 - Advanced Ultraviolet Radiation and Ozone Retrieval for ApplicationsUser: Pierre Fabre

2015-2019 -Autonomous Collision Avoidance System For Unmanned Aerial Vehicles

2015-2016 – Integrated technologies and services for sustainable fishing -demonstration project

2014-2016 - Integrated proceSsing and controL systems for sustainable forest Production in mountain areas

2013-2015 - Development of algorithm for video enhancement and data fusion in avionic environment.

2012-2014 – Satellite based planning and monitoring services for Concentrating Solar Power plants, Concentrating Photovoltaic plants, offshore wind plants User: Enel Green Power

2011-2013 – Integrated technologies and services for sustainable fishing

2011-2013 – Energy Downstream Services – planning and monitoring services for Concentrating Solar Power plants User: Enel Green Power

2011-2012 – R&D study for a compact Fluorescence Lidar avionic development system for oil spill detection from UAVs2010-2012 - Remote sensing imaging advanced processing techniques development

2009-2011 - Information services for tourism based on EO satellite (optical & SAR)User: Alpitour World S.p.A.

Description Funding Organization PrimeProject

EU (H2020) CNR-IFAC (IT)

Flyby

Flyby

Flyby

Flyby

Flyby

AVANTI (UK)

Graphitech (IT)

Alenia Aermacchi (IT)

ARMINES (F)

CNR-IFAC (IT)

ASI

ESA

EU (FP7)

Piedmont Region

Tuscany Region

Tuscany Region

ASI

ESA

EU (FP7)

ESA

SMAT F2

SATENERG

FISHSAT

ENDORSE

ALTRO

CTOTUS

SATOUR

ACAS

i-FISHSAT

SLOPE

10. Research & Development

Flyby is dedicated to applied research and innovative technology development. We participated in several R&D projects at European, National and Regional level.

10.1 R&D projects

A list of the main R&D projects is shown in the following table.

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2009-2011 - Development of an UAV compact electro-optical payload for oil spills detection

2009 - Sitting and management of mini wind plants.

2008-2011 – Monitoring Atmosphere Composition and Climate - Service chain validation for downstream test cases2007-2010 - Remote sensing data fusion of satellite and airborne optical sensors for maritime security User: Italian Coast Guard

2007-2010 - Oil spill detection service based on satellite optical imagesUser: Italian Ministry of Environment - Maritime Environ-ment Protection.

2007-2008 - Rapid Environmental Assessment based on EO data, focused on coastal environment. Users: Italian Navy, NATO Undersea Research Centre

2007 - Management of distributed solar PV plant connected on-grid, exploiting satellite EO data . User: Enel S.p.A. 2006-2008 - Sea monitoring service for off-shore oil & gas extraction platform impact assessment, based on EO satellite data. User: ENI Extraction & Production S.p.A.

Flyby

Flyby

Flyby

DLR (D)

SatOc (UK)

ECMWF (UK)

Telespazio (IT)

Telespazio (IT)ASI

ESA

ESA

ESA

EU/Tuscany Region

EU/Tuscany Region

EU (FP7)

EU (FP6)

DATAMARE

WINDYGRID

MACC

LIMES

PRIMI

EOREA

ENVISOLAR

BIOSHORE

SEALINE2006 - Harbour water quality assessment for Corsica, using archived satellite optical imagesUser: French Coast Guard

Description Funding Organization PrimeProject

Flyby

Flyby

KNMI (NL)DLR (D)

Telespazio (IT)

Telespazio (IT)ASI

ESA

ESA

ESA

ESA

STRIM

PROMOTE/MEDSUN

ROSES

HSM

2005-2009 - Public service delivering UV index, sunburn time, via web and SMS, based on optical EO satellites.Users: Regional Agencies for Environment Protection (ARPAs), National Institute for Occupational Safety and Prevention (ISPESL)

2005 - Oil spill real-time monitoring for Italian waters, based on satellite optical images specifically acquired.User: Italian Ministry of Environment - Maritime Environ-ment Protection.

2005 - Public service delivering UV index and sunburn time via web and SMS, based on satellite optical images.User: private beach resorts.

2004 - Detection of pollutant hydrocarbons in marine environment by means of optical satellite remote sensing.

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10.2 Publications

The most relevant publications and conference participations are listed below:

[1] E. Fulgione, A. Romanini, M. Morelli, E. Simeone, “Smart technology enables a new lifestyle for Vitamin D optimization and skin diseases risk reduction”, 11th European Congress of Aesthetic Medicine, Rome (IT), 13th May 2016.[2] M. Morelli, A. Masini, E. Simeone, M. Khazova, ”Validation of an innovative satellite-based UV dosimeter,” in Proceedings of the ESA Living Planet Symposium 2016, Prague (CZ), 9th-13th May 2016.[3] M. Morelli, A. Masini, E. Simeone, et al. “The AURORA H2020 project: Advanced Ultraviolet Radiation and Ozone Retrieval for Applications,” ESA Living Planet Symposium 2016, Prague (CZ), 9th-13th May 2016.[4] A. Masini, M. Maffei, A. Bracci, P. Catella and S. Benco, “Real-time algorithm for video fusion evaluation: Application to surveillance system based on UAV platform,”, IEEE 1st International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow (RTSI), pp. 326-333, Turin (IT), 16th -18th September 2015.[5] F. Ciaramaglia, M. Maffei, V. Mellano, A. Masini, A. Bracci, “Advanced Capabilities for the SkyISTAR Unmanned Aerial System,” Polaris Innovation Journal, Selex ES, No. 23, 2015.[6] M. Morelli, A. Masini, F. Ruffini, M. A. C. Potenza, “Web tools concerning performance analysis and planning support for solar energy plants starting from remotely sensed optical images,” Environmental Impact Assessment Review vol. 52, pp. 18-23, 2015.[7] A. Masini, A. Lupidi, G. Fontanelli “Il progetto SLOPE: l’apporto della piattaforma UAV nella rilevazione di dati ambientali,” Workshop on Tecniche di monitoraggio e rilevamento per analisi ambientali, Dronitaly, Milan (IT), 24th October 2014.[8] M. Morelli, A. Masini, H. Diémoz, D. Palazzuoli, G. Licitra and M. A. C. Potenza “Validazione di un sistema per il monitoraggio in quasi tempo reale e per la previsione a breve termine della radiazione UV a partire da immagini ottiche satellitari” in Proc. Convegno Nazionale di Radioprotezione “Le Radiazioni: Valori, Conoscenza Scientifica ed Aspetti Operativi,” Aosta (IT), 15th -17th October 2014.[9] M. Morelli, A. Masini, A. Lupidi, “Sistemi di supporto decisionale innovativi dedicati alla gestione intelligente delle foreste e dell’agricoltura basati su immagini ottiche satellitari,” 18ma CONFERENZA NAZIONALE ASITA 2014, Florence(IT), 14th -16th October 2014.[10] M. Morelli, A. Masini, M.A.C. Potenza et al., “Monitoring the performance of solar energy plants from satellite remote sensing of air temperature and ground solar irradiance through an accurate modelling of the effects of aerosol optical properties,” EMS-ECAC 2014, Prague (CZ), 7th October 2014.[11] V. Raimondi, A. Masini et al., “A feasibility study of a compact fluorescence lidar for oil spills detection from UAV,” in Proc. SPIE Remote Sensing 2014, Amsterdam (NL), 22nd -24th September 2014.[12] M. Morelli, A. Masini, M.A.C. Potenza, “Combining satellite optical remote sensing and radiative transfer simulation of spherical and non-spherical atmospheric aerosols to increase the performances of downstream applications in the fields of renewable energy and healthcare,” SPIE Remote Sensing 2014, Amsterdam (NL), 22nd -24th September 2014.[13] M. Morelli, “Monitoraggio in quasi tempo reale e previsione a breve termine della radiazione UV su piano normale basati sull’elaborazione di immagini ottiche satellitari e sulla modellizzazione del trasferimento radiativo in atmosfera,” 100th Meeting of the Italian Physics Society (SIF), Pisa (IT), 22nd September 2014.

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[14] M. Morelli, A. Masini, M.A.C. Potenza “Satellite-based ultraviolet and shortwave direct-diffuse solar radiation data validated through ground-measured BSRN data in support of downstream services dedicated to health prevention and solar energy,” 13th BSRN Scientific Review and Workshop, Bologna (IT), 9th – 12th September 2014.[15] A. Caligiore, F. Galeano, A. Masini, P. Puri and V. Ventra, “Il monitoraggio delle praterie di Posidonia in ambienti scarsamente antropizzati ed integralmente tutelati: l’Isola di Pianosa” in Proc. Quinto Simposio Internazionale – Il monitoraggio costiero mediterraneo: problematiche e tecniche di misura, Livorno (IT) 17-19 June 2014.[16] M. Morelli, A. Masini “Sentinel-2 Imagery for the Development of Innovative Decision Support Systems Dedicated to Sustainable Forest Management,” Sentinel-2 Science Workshop, ESA-ESRIN, Frascati (IT), 20th -22nd May 2014.[17] M. Morelli, A. Masini and M. A. C. Potenza, “Metodologie innovative per il supporto alla progettazione e all’analisi delle prestazioni di impianti ad energia solare a concentrazione ed eolici off-shore utilizzando immagini satellitari ottiche e SAR” in Bollettino A.I.C. nr. 149, 2014.[18] P. Bellezza Quater, F. Grimaccia and A. Masini, “Airborne unmanned monitoring system for coastal erosion assessment”, Engineering Geology for Society and Territory, Volume 4, pp. 115-120, 2014.[19] M. Morelli, A. Masini, S. Venafra and M. A. C. Potenza, “New approaches to off-shore wind energy management exploiting satellite EO data” in Proc. ESA Living Planet Symposium 2013, Edinburgh (UK), 9th -13th September 2013.[20] M. Morelli, F. Ruffini, A. Masini and M. A. C. Potenza, “Web tools for performance analysis and planning support for solar energy plants (PV, CSP, CPV) starting from remotely sensed optical images” in Proc. EnviroInfo, Hamburg (DE), 2nd-4th September 2013.[21] S. Venafra, M. Morelli and A. Masini, “Satellite remote sensing applied to off-shore wind energy” in Proc. of EARSeL Workshop on Remote Sensing of the Coastal Zone, Matera (IT) 7th -8th June 2013.[22] M. Morelli and F. Flore, “Satellite data for solar ultraviolet and photovoltaic management services” in Proc. The growing use of GMES across Europe’s regions (ESA-NEREUS publication), 2012.[23] M. Morelli, A. Masini and M. A. C. Potenza, “Metodologie innovative per il supporto nella progettazione e l’analisi delle prestazioni di impianti ad energia solare a concentrazione ed eolici off-shore utilizzando immagini satellitari ottiche e SAR” in Proc. Atti 16a Conferenza Nazionale ASITA, Vicenza (IT), 6th -9th November 2012.[24] M. Morelli, A. Masini and M. A. C. Potenza, “A new method for the performance analysis of a concentrating solar power energy plant using remotely sensed optical images” in Proc. ATMOS – Advances in Atmospheric Science and Applications, Bruges (BE) 18th -22nd June 2012.[25] M. Morelli and B. Canessa, “Nuovo teledosimetro UV mobile realizzato su periferiche Smartphone utilizzando dati di sensori ottici satellitari” in Proc. Il controllo degli agenti fisici: ambiente, salute e qualità della vita, Novara (IT), 6th-8th June 2012.

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[26] L. Corucci, A. Masini and M. Cococcioni, “Approaching bathymetry estimation from high resolution multispectral satellite images using a neuro-fuzzy technique” SPIE Journal of Applied Remote Sensing, Vol.5, No.1, March 2012.[27] M. Cococcioni, L. Corucci, A. Masini and F. Nardelli, “SVME: an ensemble of support vector machines for detecting oil spills from full resolution MODIS images”, OCEAN DYNAMICS, Vol. 62, No. 3, pp 449- 467, 2011.[28] M. Ferraro, C. A. Cova, F. Flore, A. Masini, E. Simeone, “Assessment of Offshore Platforms Environmental Impact through EO Satellite Based Products,” 20th World Petroleum Congress, Energy Solutions for All: Promoting Cooperation, Innovation and Investment, Doha (QA), 4th -8th December 2011.[29] B. Canessa, A. Masini and C. Lanzetta, “Servizi Web GIS per la preventivazione ed il monitoraggio di impianti da fonti rinnovabili” in Proc. of Conferenza Nazionale ASITA, Brescia (IT), 9th -12th November 2010.[30] A. Masini, L. Corucci and M. Cococcioni, “Bathymetry estimation from multi-spectral satellite images using a neuro-fuzzy technique” in Proc. of NURC MREA Conference, Lerici (IT), 18th -22nd October 2010.[31] A.Masini, L. Corucci and M. Cococcioni, “Reporting on Three Years of Activity on Oil Spill – Classification from Optical Satellite Images” in Proc. NURC MREA Conference, , Lerici (IT), 18-22nd October 2010.[32] L. Corucci, M. Cococcioni and F. Nardelli, “Building a Time Variant Cost-Oriented Classifier Using an Ensemble of SVMs on a Real Case Application” in Proc. of IEEE SMC 2010 International Conference on Systems, Man and Cybernetics, Istanbul (TR), 10th -13th October 2010.[33] L. Corucci and A. Masini, “A study on bathymetry estimation from high resolution multi-spectral satellite images” in Proc. of 2010 IEEE Gold Remote Sensing Conference, Livorno (IT), 29th -30th April 2010.[34] L. Corucci and A. Masini, “Oil spill classification from multi-spectral satellite images using a neuro-fuzzy technique” in Proc. of 2010 IEEE Gold Remote Sensing Conference, Livorno (IT), 29th -30th April 2010.[35] A. Masini et al., “The PRIMI Project: an interdisciplinary approach to oil spill monitoring” in Proc. of ESA SEASAR 2010 Workshop, Frascati (IT), 25th -29th January 2010.[36] L. Corucci, A. Masini and M. Demarte, “Analisi e validazione di una metodologia per il calcolo della batimetria costiera da immagini satellitari ad alta risoluzione” in Proc. of Atti 13a Conferenza Nazionale ASITA, Bari (IT), 1st -4th December 2009.[37] A. Masini et al., “COSMO-SkyMed contribution in oil spill monitoring of the Mediterranean Sea” in Proc. of IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009, Cape Town (ZA), 12th -17th July 2009.[38] M. Cococcioni, L. Corucci and B. Lazzerini, “Issues and Preliminary Results in Oil Spill Detection Using Optical Remotely Sensed Images” in Proc. of OCEAN’S 09-IEEE, Bremen (DE), 11th-14th May 2009.[39] A. Masini et al., “PRIMI: a Pilot Project on Marine Oil Pollution” in Proc. of 33rd International Symposium on Remote Sensing of Environment ISRE, Stresa (IT), 4th-8th May 2009.[40] A. Palazzuoli, G. Licitra, F. Flore, E. Simeone and V. Nardino, “L’informazione ambientale ai cittadini: il progetto MEDSUN per la fotoprotezione UV solare in Toscana – Tre anni di sperimentazione” in Proc. Controllo ambientale degli agenti fisici: nuove prospettive e problematiche emergenti , Vercelli (IT) , 24th-27th March 2009.[41] A. Masini, M. Diani, G. Corsini, M. Cavallini, “Analysis of Multiresolution Based Fusion strategies for a Dual Infrared System,” IEEE Transactions on Intelligent Transportation Systems ,Vol.10, No. 4, 2009.[42] P. Carli, E. Crocetti, A. Chiarugi, C. Salvini, P. Nardini, G. Zipoli, E. Simeone, ”The use of commercially

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available personal UV-meters does cause less safe tanning habits: a randomized-controlled trials,“ Photochem. Photobiol., Vol. 84, No.3, pp. 758-63, 2008.[43] M. De Marte, F. Viti, F. Flore, E. Simeone, “Batimetria costiera con immagini satellitari multispettrali ad alta risoluzione,” In Proceedings of the ASITA Conference, Turin (IT), 6th – 9th November 2007.[44] A. Masini F. Branchitta, M. Diani, G. Corsini, “Sight Enhancement trough Video Fusion in a Surveillance System,” 14th International Conference on Image Analysis and Processing, ICIAP’07, Modena (IT), 10th-14th September 2007.[45] R. Meerkötter and F. Flore, “The UV Service in the ESA-GSE Project PROMOTE” in Proc. of the UV Conference ‘One Century of UV Research’, pp. 193-194, Davos (CH), 18th-20th September 2007.[46] A. Masini, M. Diani, G. Corsini, A. Porta, “Automatic focusing techniques for IR sensors,” SPIE Europe Symposium on Security and Defence: Electro-Optical and Infrared Systems: Technology and Applications, Florence (IT), 17th -20th September 2007.[47] A. Masini, M. Diani, G. Corsini, “Evaluation of Multispectral Image Fusion Methods in Real Time Monitoring Applications,” in Proc. of IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2006, Denver (US), pp. 1816-1819, 14th July-4th August 2006.[48] A. Masini, G. Corsini, M. Diani, “Video Sequence Stabilization for Real- Time Remote Sensing Applications in Proc. of IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2006, Denver (US), pp. 1816-1819, 14th July-4th August 2006.[49] R. Meerkötter, E. Simeone et al., “The UV Service in the ESA-GSE Project PROMOTE, ” in Proceedings of SPIE, Remote Sensing of Clouds and the Atmosphere XI, Vol. 6362, pp. 63621B-1- 63621B-10, Stockholm (SE), 11th - 14th September 2006. [50] F. Flore, R. Van der A., G. Licitra, A. Fabozzi, E. Simeone, V. Nardino, “Validation of UV and Ozone EO based data used in PROMOTE/MEDSUN service by means of on ground measurements,”, in Proceedings of ESA-ATMOS 2006, Frascati (IT), 8th – 12th May 2006.[51] E. Simeone, C. Lanzetta, G. Licitra, D. Palazzuoli, P. Gallo, S. Carpinello, “Sistema di fotoprotezione solare mediante elaborazione di immagini ottiche satellitari,” in Proceedings of the ASITA Conference, Catania (IT), 15th -18th November 2005. [52] A. Masini, M. Diani, G. Corsini, M. Cavallini “Enhancement of Sight Effectiveness by Dual Infrared System: Evaluation of Image Fusion Strategies International Conference on Technology and Automation,” ICTA’05, Thessaloniki (GR), 15th -16th October 2005.[53] E. Simeone, G. Licitra, D. Palazzuoli, S. Carpinello, “A New Web&Sms Based Real-Time Photoprotection Service By Determination Of User Phototype And UV Index Derived From Satellite Data,” in Proceedings World Congress “New technologies in preventing photoinduced skin cancer and photoageing,“ Siena (IT), 19th -21th October 2005. [54] A. Masini, M. Diani, G. Corsini, M. Cavallini “Fusion of IR Video Sequences for Enhancing Sight Effectiveness in Reduced Visibility Conditions ,” International Workshop on Very Low Bit-Rate Video-Coding, VLBV’05, Cagliari (IT), 15th-16th September 2005.[55] G. Monfrecola, G. Fabbrocini, A. del Del Sorbo, E. Simeone, “Prevenzione del danno solare mediante dosimetria ultravioletta personalizzata: una nuova metodica con l’uso di telefonia cellulare (Ultraviolet personal dosimetry: A new method for sunburn prevention by mobile telephone),” Annali Italiani Di Dermatologia Allergologica, Clinica e Sperimentale, Vol. 58, pp. 96-103, 2004.

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