Quality Report Generated with Pro version 2.2.5

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Griffin Hudson
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1 Quality Report Generated with Pro version Important: Click on the different icons for: Help to analyze the results in the Quality Report Additional information about the sections Click here for additional tips to analyze the Quality Report Summary Project Processed Average Ground Sampling Distance (GSD) phantom3_lrs_improve :11: cm / 0.5 in Area Covered km2 / ha / sq. mi. / acres 14m:46s Time for Initial Processing (without report) Quality Check Images median of keypoints per image Dataset 112 out of 113 images calibrated (99%), all images enabled Camera Optimization 13.87% relative difference between initial and optimized internal camera parameters Matching median of matches per calibrated image Georeferencing yes, 5 GCPs (5 3D), mean RMS error = m Preview Figure 1: Orthomosaic and the corresponding sparse Digital Surface Model (DSM) before densification. Calibration Details Number of Calibrated Images Number of Geolocated Images Initial Image Positions 112 out of out of 113

2 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) and their 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: 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 Number of 3D Points for Bundle Block Adjustment Mean Reprojection Error [pixels]

3 Internal Camera Parameters FC300X_3.6_4000x3000LRS (RGB). Sensor Dimensions: [mm] x [mm] EXIF ID: FC300X_3.6_4000x3000 Focal Length Principal Point x Principal Point y R1 R2 R3 T1 T2 Initial Values [pixel] [mm] [pixel] [mm] [pixel] [mm] Optimized Values [pixel] [mm] [pixel] [mm] [pixel] [mm] The number of Automatic Tie Points (ATPs) per pixel averaged over all images of the camera model is color coded between black and white. White indicates that, in average, more than 16 ATPs are extracted at this pixel location. Black indicates that, in average, 0 ATP has been extracted at this pixel location. Click on the image to the see the average direction and magnitude of the reprojection error for each pixel. Note that the vectors are scaled for better visualization. 2D Keypoints Table Number of 2D Keypoints per Image Number of Matched 2D Keypoints per Image Median Min Max Mean D Points from 2D Keypoint Matches Number of 3D Points Observed In 2 Images In 3 Images In 4 Images In 5 Images In 6 Images In 7 Images In 8 Images In 9 Images 8125 In 10 Images 6089 In 11 Images 4835 In 12 Images 4066 In 13 Images 3389 In 14 Images 2674 In 15 Images 1798 In 16 Images 1518 In 17 Images 1264 In 18 Images 887 In 19 Images 617 In 20 Images 467 In 21 Images 343 In 22 Images 267 In 23 Images 239 In 24 Images 166 In 25 Images 139 In 26 Images 116 In 27 Images 97 In 28 Images 60

In 29 Images 32 In 30 Images 22 In 31 Images 3 2D Keypoint Matches Number of matches 25 222 444 666 888 1111 1333 1555 1777 2000 Figure 5: Top view of the image computed positions with a link between

4 In 29 Images 32 In 30 Images 22 In 31 Images 3 2D Keypoint Matches Number of matches 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 keypoints between the images. Bright links indicate weak links and require manual tie points or more images. Manual Tie Points MTP Name Projection Error [pixel] Verified/Marked mosaic / 12 mosaic / 18 black / 16 Projection errors for manual tie points.the last column counts the number of images where the manual tie point has been automatically verified vs. manually marked. Geolocation Details Ground Control Points GCP Name Accuracy XY/Z [m] Error X [m] Error Y [m] Error Z [m] Projection Error [pixel] Verified/Marked 17 (3D) 0.020/ / 6 5 (3D) 0.020/ / (3D) 0.020/ / 16 1 (3D) 0.020/ / (3D) 0.020/ / 13 Mean [m] Sigma [m] RMS Error [m] out of 13 check points 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/Marked / / / / / / / / / / / / / / / / / / / / / / 14

5 / / / / 17 Mean [m] Sigma [m] RMS Error [m] Localisation accuracy per GCP and mean errors in the three coordinate directions. The last column counts the number of calibrated images where the GCP has been automatically verified vs. manually marked. Absolute Geolocation Variance Min Error [m] Max Error [m] Geolocation Error X [%] Geolocation Error Y [%] Geolocation Error Z [%] Mean [m] Sigma [m] RMS Error [m] Min Error and Max Error represent geolocation error intervalsbetween -1.5 and 1.5 times the maximum accuracy of all the images. Columns X, Y, Z show the percentage 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. Geolocation Bias X Y Z Translation [m] Bias between image initial and computed geolocation given in output coordinate system. Relative Geolocation Variance Relative Geolocation Error Images X [%] Images Y [%] Images Z [%] [-1.00, 1.00] [-2.00, 2.00] [-3.00, 3.00] Mean of Geolocation Accuracy [m] Sigma of Geolocation Accuracy [m] Images X, Y, Z represent the percentage of images with a relative geolocation error in X, Y, Z. Geolocation Orientational Variance RMS [degree] Omega Phi Kappa Geolocation RMS error of the orientation angles given by the difference between the initial and computed image orientation angles. Rolling Shutter Statistics

Figure 6: Camera movement estimated by the rolling shutter camera model. The green line follows the computed image positions. The blue dots represent the camera position at the start of the exposure.

6 Figure 6: Camera movement estimated by the rolling shutter camera model. The green line follows the computed image positions. The blue dots represent the camera position at the start of the exposure. The blue lines represent the camera motion during the rolling shutter readout, re-scaled by a project dependant scaling factor for better visibility. Median Camera Speed Median Camera Displacement During Sensor Readout) Median Rolling Shutter Readout Time [m/s] [m] [ms] Georeference Verification GCP Name: 17 ( , , ) DJI_0004.JPG DJI_0005.JPG DJI_0006.JPG DJI_0007.JPG DJI_0008.JPG DJI_0058.JPG GCP Name: 5 ( , , )

7 DJI_0012.JPG DJI_0016.JPG DJI_0017.JPG DJI_0018.JPG DJI_0019.JPG DJI_0040.JPG DJI_0041.JPG DJI_0042.JPG DJI_0043.JPG DJI_0044.JPG DJI_0045.JPG DJI_0046.JPG DJI_0047.JPG DJI_0061.JPG DJI_0062.JPG DJI_0063.JPG DJI_0064.JPG DJI_0078.JPG DJI_0079.JPG DJI_0080.JPG DJI_0081.JPG DJI_0082.JPG DJI_0089.JPG DJI_0090.JPG DJI_0091.JPG DJI_0092.JPG DJI_0093.JPG GCP 5 was not marked on the following images (only up to 6 images shown). If the circle is too far away from the initial GCP position, also measure the GCP in these images to improve the accuracy. DJI_0013.JPG GCP Name: 13 ( , , )

8 DJI_0024.JPG DJI_0025.JPG DJI_0026.JPG DJI_0027.JPG DJI_0028.JPG DJI_0031.JPG DJI_0032.JPG DJI_0033.JPG DJI_0034.JPG DJI_0035.JPG DJI_0052.JPG DJI_0053.JPG DJI_0054.JPG DJI_0055.JPG DJI_0056.JPG DJI_0057.JPG GCP Name: 1 ( , , ) DJI_0043.JPG DJI_0044.JPG DJI_0092.JPG DJI_0093.JPG DJI_0094.JPG DJI_0095.JPG DJI_0103.JPG DJI_0104.JPG DJI_0105.JPG DJI_0106.JPG GCP Name: 25 ( , , )

9 DJI_0064.JPG DJI_0065.JPG DJI_0066.JPG DJI_0067.JPG DJI_0068.JPG DJI_0069.JPG DJI_0074.JPG DJI_0075.JPG DJI_0076.JPG DJI_0077.JPG DJI_0093.JPG DJI_0094.JPG DJI_0095.JPG GCP 25 was not marked on the following images (only up to 6 images shown). If the circle is too far away from the initial GCP position, also measure the GCP in these images to improve the accuracy. DJI_0043.JPG Figure 7: Images in which GCPs have been marked (yellow circle) and in which their computed 3D points have been projected (green circle). A green circle outside of the yellow circle indicates either an accuracy issue or a GCP issue. Processing Options Hardware Operating System Camera Model Name Image Coordinate System Ground Control Point (GCP) Coordinate System Output Coordinate System Detected template: CPU: Intel(R) Core(TM) i7-5820k 3.30GHz RAM: 32GB GPU: NVIDIA GeForce GTX 750 Ti (Driver: ) Windows 10 Home, 64-bit FC300X_3.6_4000x3000LRS (RGB) WGS84 (egm96) WGS84 / UTM zone 34N WGS84 / UTM zone 34N (egm96) No template available Keypoints Image Scale Full, Image Scale: 1 Advanced: Matching Image Pairs Advanced: Matching Strategy Advanced: Keypoint Extraction Advanced: Calibration Aerial Grid or Corridor Use Geometrically Verified Matching: no Targeted Number of Keypoints: Automatic Calibration Method: Standard, Internal Parameters Optimization: Leading, External Parameters Optimization: All, Rematch: Auto yes

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