Paris-Le Bourget Airport. 557 out of 557 images calibrated (100%), all images enabled
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1 DroneData Render Server Generated Quality Report Phase 1 Time 00h:27m:34s Phase 2 Time 01h:40m:23s Phase 3 Time 01h:41m:18s Total Time All Phases 03h:48m:59s Generated with Pix4Dmapper Pro - TRIAL 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) Paris-Le Bourget Airport :51: cm / 1.14 in Area Covered km2 / ha / sq. mi. / acres 27m:34s Time for Initial Processing (without report) Quality Check Images median of keypoints per image Dataset 557 out of 557 images calibrated (100%), all images enabled Camera Optimization 10.37% relative difference between initial and optimized internal camera parameters Matching median of matches per calibrated image Georeferencing yes, no 3D GCP Preview Figure 1: Orthomosaic and the corresponding sparse Digital Surface Model (DSM) before densification. Calibration Details Number of Calibrated Images 557 out of 557
2 Number of Geolocated Images 556 out of 557 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
3 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). Overlap
4 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] Internal Camera Parameters CanonIXUS125HS_4.3_4608x3456 (RGB). Sensor Dimensions: [mm] x [mm] EXIF ID: CanonIXUS125HS_4.3_4608x3456 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 Median Number of Matched 2D Keypoints per Image
5 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 7162 In 9 Images 4932 In 10 Images 3550 In 11 Images 2745 In 12 Images 2023 In 13 Images 1745 In 14 Images 1303 In 15 Images 921 In 16 Images 661 In 17 Images 356 In 18 Images 151 In 19 Images 62 In 20 Images 9 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. Geolocation Details
6 Absolute Geolocation Variance 35 out of 556 geolocated and calibrated images have been labeled as inaccurate. 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 intervals between -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. 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. Processing Options Hardware Operating System Camera Model Name Image Coordinate System Output Coordinate System CPU: Intel(R) Core(TM) i7-5960x 3.00GHz RAM: 32GB GPU: RDPUDD Chained DD (Driver: unknown) Windows Server 2012 R2 Standard, 64-bit CanonIXUS125HS_4.3_4608x3456 (RGB) WGS84 WGS84 / UTM zone 31N (egm96) 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: int_all, External Parameters Optimization: ext_all, Rematch: no Point Cloud Densification details Processing Options Image Scale Point Density multiscale, 1/2 (Half image size, Default) Optimal
7 Minimum Number of Matches 3 3D Textured Mesh Generation yes, Maximum Number of Triangles: , Texture Size: 8192x8192 Advanced: Matching Window Size 7x7 pixels Advanced: Image Groups group1 Advanced: Use Densification Area yes Advanced: Use Annotations yes Advanced: Limit Camera Depth Automatically no Time for Point Cloud Densification 01h:22m:02s Time for 3D Textured Mesh Generation 18m:21s Results Number of Generated Tiles 16 Number of 3D Densified Points Average Density (per m 3 ) DSM, Orthomosaic and Index Details Processing Options DSM and Orthomosaic Resolution DSM Filters DSM Generation Time for DSM Generation Time for Orthomosaic Generation 1 x GSD (2.9 [cm/pixel]) Noise Filtering: yes, Surface Smoothing: yes, Sharp yes, Method: Inverse Distance Weighting, Merge Tiles: yes 53m:06s 48m:12s
28 out of 28 images calibrated (100%), all images enabled. 0.02% relative difference between initial and optimized internal camera parameters
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