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Generated with version 3.3.67 Quality Report Important: Click on the different icons for: Help to analyze the results in the Quality Report Additional information about the feature Click here for additional tips to analyze the Quality Report Summary Project thermomap - solar pannel Processed 2015-Mar-12 15:35:33 Camera Model Name thermoMAP_9.0_640x512 (Thermal IR) Average Ground Sampling Distance (GSD) 14.23 cm / 5.6 in Area Covered 0.0779 km 2 / 7.7938 ha / 0.0301 sq. mi. / 19.2688 acres Image Coordinate System WGS84 Output Coordinate System WGS84 / UTM zone 32N Processing Type full Aerial nadir Feature Extraction Image Scale 1 Camera Model Parameter Optimization optimize externals and all internals Time for Initial Processing (without report) 03m:00s Quality Check Images median of 898 keypoints per image Dataset 292 out of 293 images calibrated (99%), 782 images disabled Camera Optimization 2.85% relative difference between initial and final focal length Matching median of 537.857 matches per calibrated image Georeferencing no 3D GCP Preview Figure 1: Orthomosaic and the corresponding sparse Digital Surface Model (DSM) before densification.

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Generated with version 3.3.67

Quality Report

Important: Click on the different icons for:

Help to analyze the results in the Quality Report

Additional information about the feature

Click here for additional tips to analyze the Quality Report

Summary

Project thermomap - solar pannelProcessed 2015-Mar-12 15:35:33Camera Model Name thermoMAP_9.0_640x512 (Thermal IR)Average Ground Sampling Distance (GSD) 14.23 cm / 5.6 in

Area Covered 0.0779 km2 / 7.7938 ha / 0.0301 sq. mi. / 19.2688 acresImage Coordinate System WGS84Output Coordinate System WGS84 / UTM zone 32NProcessing Type full Aerial nadirFeature Extraction Image Scale 1Camera Model Parameter Optimization optimize externals and all internalsTime for Initial Processing (without report) 03m:00s

Quality Check

Images median of 898 keypoints per image

Dataset 292 out of 293 images calibrated (99%), 782 images disabled

Camera Optimization 2.85% relative difference between initial and final focal length

Matching median of 537.857 matches per calibrated image

Georeferencing no 3D GCP

Preview

Figure 1: Orthomosaic and the corresponding sparse Digital Surface Model (DSM) before densification.

Calibration Details

Number of Calibrated Images 292 out of 1075Number of Geolocated Images 1075 out of 1075

Initial Image Positions

Figure 2: Top view of the initial image position. The green line follows the position of the images in time starting from the large blue dot.

Computed Image/GCPs/Manual Tie Points Positions

Figure 3: Offset between initial (blue dots) and computed (green dots) image positions as well as the offset between the GCPs initial positions (blue crosses) andtheir computed positions (green crosses) in the top-view (XY plane), front-view (XZ plane), and side-view (YZ plane).

Red dots indicate disabled or uncalibrated images.

Overlap

Number of overlapping images: 1 2 3 4 5+

Figure 4: Number of overlapping images computed for each pixel of the orthomosaic. Red and yellow areas indicate low overlap for which poor results may be generated. Green areas indicate an overlap of over 5 images for every pixel. Good

quality results will be generated as long as the number of keypoint matches is also sufficient for these areas (see Figure 5 for keypoint matches).

Bundle Block Adjustment Details

Number of 2D Keypoint Observations for Bundle Block Adjustment 162560Number of 3D Points for Bundle Block Adjustment 46870Mean Reprojection Error [pixels] 0.282475

Internal Camera Parameters

thermoMAP_9.0_640x512 (Thermal IR). Sensor Dimensions: 10.9 [mm] x 8.7 [mm]

EXIF ID: senseFlyThermal_0.0_640x512

FocalLength

PrincipalPoint x

PrincipalPoint y R1 R2 R3 T1 T2

InitialValues

558.824 [pixel]9.500 [mm]

320.000 [pixel]5.440 [mm]

256.000 [pixel]4.352 [mm] -0.294 0.104 -0.019 0.000 0.000

OptimizedValues

542.859 [pixel]9.229 [mm]

319.488 [pixel]5.431 [mm]

257.795 [pixel]4.383 [mm] -0.298 0.115 -0.028 0.001 -0.002

2D Keypoints Table

Number of 2D Keypoints per Image Number of Matched 2D Keypoints per ImageMedian 898 538Min 562 194Max 1322 991Mean 911 557

3D Points from 2D Keypoint Matches

Number of 3D Points ObservedIn 2 Images 25865

In 3 Images 8421In 4 Images 4030In 5 Images 2328In 6 Images 1593In 7 Images 1070In 8 Images 812In 9 Images 644In 10 Images 470In 11 Images 376In 12 Images 270In 13 Images 209In 14 Images 182In 15 Images 130In 16 Images 97In 17 Images 92In 18 Images 62In 19 Images 46In 20 Images 27In 21 Images 35In 22 Images 29In 23 Images 19In 24 Images 18In 25 Images 12In 26 Images 6In 27 Images 4In 28 Images 5In 29 Images 7In 30 Images 2In 31 Images 1In 32 Images 2In 33 Images 1In 36 Images 1In 37 Images 2In 39 Images 1In 44 Images 1

3D Points from 2D Keypoint Matches

Number of matches25 70 141 212 282 353 424 494 565 636

Figure 5: Top view of the image computed positions with a link between matching images. The darkness of the links indicates the number of matched 2D keypointsbetween the images. Bright links indicate weak links and require manual tie points or more images.

Geolocation Details

Absolute Geolocation Variance

Min Error [m] Max Error [m] Geolocation Error X [%] Geolocation Error Y [%] Geolocation Error Z [%]- -5.68 0.34 0.34 0.00-5.68 -4.54 0.00 2.05 0.00-4.54 -3.41 0.00 3.42 0.00-3.41 -2.27 1.37 4.45 0.00-2.27 -1.14 4.45 11.30 8.90-1.14 0.00 44.18 27.74 41.780.00 1.14 44.18 28.08 39.731.14 2.27 4.11 9.93 7.882.27 3.41 1.37 8.90 1.713.41 4.54 0.00 3.42 0.004.54 5.68 0.00 0.34 0.005.68 - 0.00 0.00 0.00Mean -0.011407 -0.051550 -0.000175Sigma 0.859653 2.013749 0.897636RMS Error 0.859729 2.014409 0.897636

Min Error and Max Error represent geolocation error intervals between -1.5 and 1.5 times the maximum accuracy of all the images. Columns X, Y, Z show thepercentage of images with geolocation errors within the predefined error intervals. The geolocation error is the difference between the intial and computed image

positions. Note that the image geolocation errors do not correspond to the accuracy of the observed 3D points.

Geotag Orientational Variance RMS [degree]Omega 4.877134Phi 5.007280Kappa 6.719228

Geolocation RMS error of the orientation angles given by the difference between the initial and computed image orientation angles.

Point Cloud Densification details

Summary

Processing Type aerial nadirImage Scale multiscale, 1/2 (half image size, default)Point Density optimalMinimum Number of Matches 3Use Densification Area yesUse Annotations yesTime for Densification (without report and 3D textured mesh) 02m:25s

Results

Number of 3D Densified Points 368757

Average Density (per m3) 1.31