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What's New in eCognition 9
Christian Weise | Product Manager
APRIL 2016
Introduction
Background
eCognition® Suite
� Advanced analysis software and development environment available for geospatial applications
� Enables users to create feature extraction or change detections solutions to transform geospatial data into geo-information
Image Data
Elevation Data
Land Cover Map
Impervious Map
Tree Map
Real World
Overview
� eCognition Suite offers three different components which
can be used stand-alone or in combination to cover even
the most challenging fully automatic and semi-automated
production workflows
eCognition
Developer
eCognition
Developer
eCognition
Server
eCognition
Architect
eCognition
Server
eCognition
Architect
eCognition
Architect
− eCognition Developer:
development & analysis
environment for applications
− eCognition Architect:
front-end for applications
created in Developer
− eCognition Server:
processing environment
Use Cases
EXTRACT INFORMATION
UPDATE INFORMATION
Unique Features
Geospatial Data Fusion
– Fuse and use a variety of geospatial
data, such as images, point clouds
and GIS vectors � Use the full
information potential of your data
Dynamic Analysis
Raster
Vector
Point
cloud
GIS AnalyticsSegmentation Classification
Input Raster
Vector
Point
cloud
Result
Report
Abstraction
Controlled with RuleSetCombines analysis
steps Segmentation,
Classification, Object
Manipulation, and GIS
Analytics dynamically
�Unique approach to
translate your mind
model (why you see
something in the data)
into computer
understandable code
(eCognition Solution
[Rule Set])
Highlights in Version 9.2
eCognition 9.2 Highlights
� Extended Multi-Core processing
capabilities for faster project
completion
� Advanced Data Support to
reduce time taken in converting
and loading data
Extended
Multi-Core
processing
capabilities
Extended Multi-Core processing capabilities
� Further multi-core enhancements in
eCognition 9.2 allow users to utilize up to
8 CPU cores with selected functions that
typically require longer processing times:
– Multi-Core powered Multiresolution
Segmentation
– Multi-Core powered Template Matching
– Multi-Core powered Feature Calculations
� The new multi-core capabilities maximize
the power of computing hardware,
reduce processing bottlenecks and allow
users to complete projects in up to a third
of the time taken with prior versions 50 100 150 200 megapixel
500
1000
1500
2000
2500
3000
seconds
1 core
4 cores
8 cores
Advanced Data Support
� Reduced time taken in converting and loading data -
eCognition 9.2 includes a new driver for a faster import
of JPEG2000 files and now supports the usage of
MrSID image data. Furthermore a new point cloud
driver allows the usages of compressed point clouds in
the LASzip format.
� Direct access to latest image and point cloud
compression technology
� Offers faster turnaround times for projects using the
newest set of earth observation sensors
JP2
SID
LAZ
Highlights in Version 9.1
eCognition 9.1 Highlights
� Performance improvements, significantly reducing processing time
� Better utilization of GIS-Data in image analysis workflows
� Improved mapping capabilities for robust and accurate classification results
� Packaging and installation of customized eCognition applications
� Enhanced mobile mapping support for Trimble MX2 systems
Application
Packaging
Performance Improvement
� Feature:Multi-core support in “Multiresolution Segmentation”
� Background:– “Multiresolution Segmentation” is the first and most successful object
creation technique in the remote sensing market & the most time-consuming process of an typical eCognition analysis (~45% of the overall processing time)
– General trend in CPU development has moved from dual-core to quad-or hex-core chips - parallel programming techniques can benefit from multiple cores directly
� Benefits:– Performance improvements of up to 50% during object creation
freeing time to focus on the interpretation of results and decision making
– Reduced overall processing time allowing users to faster produce results
– Utilize the power of current desktop systems by using up to 4 CPU cores
Performance Improvement
35% 34% 34% 34%
47%48%
44%47%
0%
5%
10%
15%
20%
25%
30%
35%
40%
45%
50%
225.000.000 (15k x 15k) 400.000.000 (20k x 20k) 625.000.000 (25k x 25k) 900.000.000 (30k x 30k)
Pe
rfo
rma
nce
In
cre
ase
[%
]
Scene Size [pxl]
Performance increase with 2 cpu cores Performance increase with 4 cpu cores
Better Utilization of GIS-Data
� Feature:
New integrated GIS-techniques to inspect and analyze vector
data, this includes:
– Buffering
– Conversions
– Distance calculations
� Benefits:
– Supports the dynamic combination of image and GIS
analysis capabilities on a high level of automation which
help reducing project turnaround times
– Further bridging the gap between GIS and Remote Sensing
Improved Mapping Capabilities
� Feature:
Load, save and use sample statistics
� Background:
– Supervised learning algorithms analyzes spectral signatures obtained from sample areas and produces an classification model, which will be used for mapping (1 convert pixel data into thematic information)
– Samples represent the class examples and can be stored in GIS layers to save time if users want to re-do or to modify the selection
– Problem is that new sample locations have to be selected for every new data set, because (beside atmospheric and spectral effects) they could not covered by the new scene(s)
� Benefits:
– Extend and transfer sample statistics for classifications make a re-selection of sample areas superfluous and allowing users to faster produce results
– Combine sample statistics from different scenes offers the creation of transferable classification models which produce robust and accurate results
Other new features included
� Features:
1. Packaging and installation of
customized eCognition
applications
� Benefits:
1. Allows an easier roll out and
commercialization of eCognition-based
applications
2. Enhanced mobile mapping support for Trimble MX2 systems
2. Allow creation of mapping solution based on Trimble MX2 systems
Other new features included
� License Borrowing
� Customer Feedback Program
Highlights in Version 9.0
eCognition 9.0 Highlights
� Native Vector HandlingExtend OBIA with GIS operations
� Template MatchingExtend OBIA with computer vision based Object
Detection
� Point Cloud ViewerIncrease the productivity of creating Rule Sets
� JPEG2000 SupportIntegrate JPEG2000 images in OBIA Workflows
� Trusted StorageFlexible License Management
Trusted
Storage
Template
Matching
Point
Cloud
Viewer
JPEG
2000
Native
Vector
Handling
and
more
Native Vector Handling
Efficient GIS data management inside eCognition, this includes
� Functions to visualize and inspect GIS vector data
� Common used GIS operations
� Algorithms to update and export GIS vectors
This improved integration of GIS techniques into Remote Sensing workflows is further bridging the gap between the two domains
Native Vector Handling
� Visualize and inspect
GIS vector layer (1)
� No Rasterization
� No Pixel Snapping
Native Vector Handling
� Visualize and inspect GIS vector layer (2)
– ‘Edit Vector Layer Mixing’ dialog
– Vector related Features
+
+
+
+
Native Vector Handling
� Manipulate Vector Data (1)
– Combine GIS vector layers
– Simplify/Smooth GIS vector layers
Union Subtract Intersect DifferenceInput
Input
Simplified
Smoothed
Native Vector Handling
� Manipulate Vector Data (2)
– Orthogonalize GIS data layers
i.e. Reshape Building Objects
– Integrate GIS data layers
i.e. Combine Input/Result Layers
– Create GIS data layers
i.e. Convert OBIA-Results into
Vector Layers
– Update GIS data layers
i.e. Write Results back in Databases
+ +
++
+
+
+
+
+ +
++FileGDB
+
+
+
++
+
+
+
++++++++++
++++++
++++++++++++
Template Matching
� Extends the existing eCognition classification methods with computer vision based object detection, this includes
– GUI to collect Samples
– GUI to create and evaluate Templates
– Algorithm to execute Template Matching
� Provides additional value remote sensing experts by improving classification results and extending eCognition to new fields of use
Template Matching
� Template Matching Algorithm� algorithm to execute matching procedure
� If standard deviation of the template image compared to the source image is small
enough, template matching may be used
� Templates are most often used to identify printed characters, numbers, and other
small objects (i.e. Trees)
Template Matching
� Template Editor (Template Generation)
– Functions to define
and select Samples
– Functions to create
Template(s)
– Functions to test
Template(s) and
generate additional
Samples
Point Cloud Viewer
� Visualize Point Clouds for an easier and better data and result assessment
– Functions to render points by classification, intensity, RGB values
– Functions to define class colors
� This can significantly increase the productivity of creating rule sets as well as improving the classification quality
Trusted Storage
License handling based on files is replaced with Trusted Storage� Secure environment for license management
� Online license activation and re-hosting
� VM support
Provides a Flexible eCognition License Management
Return
License
Activation
Entitlement ID
Summary
JPEG2000
Conversion
Analyze
• GIS Vectors
• Classified Points
• Statistics
MapInspect
• Fusion
• Interpretation
• Generalize Results
• Combine Results
• Create Maps
3rd Party
Tools
3rd Party
Tools
View PCs Check PCs
3rd Party
Tools
CV based
Object Detection
Ordering, Availability, and Resources
Ordering, Availability, and Resources
eCognition Suite 9.2
� Release Date: 13 April 2016
� Who´s eligible?
All users with a valid maintenance contract as of April 13th, 2016
� The software is available in the Customer Download Area: http://www.trimble.com/imaging/downloads
� Get the Free Trial and learn more about Trimble eCognition on http://www.eCognition.com
� Visit the eCognition Community (more than 12.000 users) to ask questions, follow discussions, download guided tours, and give feedback on http://www.eCognition.com/community
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