Generated with version 3.3.74

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 vrs_accuracy_2_5cmProcessed 2015-Mar-19 18:55:57Camera Model Name CanonIXUS127HS_4.3_4608x3456 (RGB)Average Ground Sampling Distance (GSD) 2.4 cm / 0.94 in

Area Covered 0.1704 km2 / 17.0378 ha / 0.0658 sq. mi. / 42.1231 acresImage Coordinate System WGS84Ground Control Point (GCP) 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) 09m:18s

Quality Check

Images median of 30076 keypoints per image

Dataset 184 out of 184 images calibrated (100%), 2 images disabled

Camera Optimization 0.21% relative difference between initial and final focal length

Matching median of 3957.95 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 184 out of 186Number of Geolocated Images 186 out of 186

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 827121Number of 3D Points for Bundle Block Adjustment 308269Mean Reprojection Error [pixels] 0.1318

Internal Camera Parameters

CanonIXUS127HS_4.3_4608x3456 (RGB). Sensor Dimensions: 6.17 [mm] x 4.63 [mm]

EXIF ID: CanonIXUS127HS_4.3_4608x3456

FocalLength

PrincipalPoint x

PrincipalPoint y R1 R2 R3 T1 T2

InitialValues

3270.924 [pixel]4.380 [mm]

2303.999 [pixel]3.085 [mm]

1728.000 [pixel]2.314 [mm] -0.049 0.059 -0.036 0.000 -0.003

OptimizedValues

3278.085 [pixel]4.389 [mm]

2299.833 [pixel]3.079 [mm]

1838.265 [pixel]2.461 [mm] -0.047 0.052 -0.028 0.007 -0.001

2D Keypoints Table

Number of 2D Keypoints per Image Number of Matched 2D Keypoints per ImageMedian 30076 3958Min 8133 468Max 77799 12680Mean 32273 4495

3D Points from 2D Keypoint Matches

Number of 3D Points ObservedIn 2 Images 207524In 3 Images 53323In 4 Images 21559In 5 Images 10854In 6 Images 6018In 7 Images 3696In 8 Images 2191In 9 Images 1227In 10 Images 811In 11 Images 464In 12 Images 287In 13 Images 161In 14 Images 66In 15 Images 49In 16 Images 30In 17 Images 7In 18 Images 1In 20 Images 1

3D Points from 2D Keypoint Matches

Number of matches25 222 444 666 888 1111 1333 1555 1777 2000

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

Ground Control Points

GCP Name Accuracy XY/Z [m] Error X [m] Error Y [m] Error Z [m] Projection Error [pixel] Verified/Marked0 out of 19 check pointss have been labeled as inaccurate.

Check Point Name Accuracy XY/Z [m] Error X [m] Error Y [m] Error Z [m] Projection Error [pixel] Verified/Marked1 0.020/0.020 -0.000 0.017 0.034 0.249 13 / 132 0.020/0.020 0.032 0.010 -0.006 0.253 16 / 163 0.020/0.020 -0.016 -0.003 -0.022 0.300 17 / 174 0.020/0.020 0.001 -0.058 0.024 0.458 18 / 185 0.020/0.020 -0.015 -0.008 0.050 0.605 11 / 116 0.020/0.020 0.021 -0.000 0.016 0.217 14 / 147 0.020/0.020 0.042 -0.033 0.020 0.417 15 / 158 0.020/0.020 0.006 0.001 0.020 0.317 18 / 189 0.020/0.020 -0.008 0.012 0.014 0.221 15 / 1510 0.020/0.020 -0.020 -0.015 -0.022 0.331 16 / 1611 0.020/0.020 0.007 -0.013 0.011 0.340 17 / 1712 0.020/0.020 0.027 -0.032 -0.001 0.456 19 / 1913 0.020/0.020 0.011 -0.010 0.024 0.283 15 / 1514 0.020/0.020 0.008 0.003 0.036 0.347 13 / 1315 0.020/0.020 0.033 -0.013 -0.006 0.370 13 / 1316 0.020/0.020 0.028 -0.047 -0.005 0.393 13 / 1317 0.020/0.020 -0.025 -0.045 -0.016 0.388 19 / 1918 0.020/0.020 -0.006 -0.027 0.009 0.431 13 / 1319 0.020/0.020 0.030 -0.012 0.005 0.280 14 / 14Mean 0.008230 -0.014469 0.009789Sigma 0.019658 0.020479 0.019305RMS Error 0.021312 0.025074 0.021645

Localisation accuracy per GCP and mean errors in the three coordinate directions. The last column counts the number of images where the GCP has beenautomatically verified vs. manually marked.

Absolute Geolocation Variance

Min Error [m] Max Error [m] Geolocation Error X [%] Geolocation Error Y [%] Geolocation Error Z [%]- -0.08 0.00 0.00 7.83-0.08 -0.07 0.00 0.00 12.65-0.07 -0.05 0.60 0.00 15.66-0.05 -0.03 0.00 1.81 17.47-0.03 -0.02 7.83 6.63 7.23-0.02 0.00 46.39 48.80 4.820.00 0.02 36.75 35.54 3.610.02 0.03 5.42 3.01 1.200.03 0.05 1.20 1.81 2.410.05 0.07 1.81 1.20 3.010.07 0.08 0.00 0.60 4.820.08 - 0.00 0.60 19.28Mean -0.000078 -0.000228 -0.007845Sigma 0.014497 0.016876 0.073152RMS Error 0.014497 0.016877 0.073572

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 3.449257Phi 3.356186Kappa 5.157680

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