Quality Report

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Summary

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Project try1
Processed 2025-11-13 20:44:35
Camera Model Name(s) PMA2616_16.0_6252x4168 (RGB)
Average Ground Sampling Distance (GSD) 4.55 cm / 1.79 in
Area Covered 0.656 km2 / 65.6409 ha / 0.25 sq. mi. / 162.2861 acres
Time for Initial Processing (without report) 05m:00s


Quality Check

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help Images median of 74006 keypoints per image green
help Dataset 152 out of 155 images calibrated (98%), all images enabled green
help Camera Optimization 7.93% relative difference between initial and optimized internal camera parameters yellow
help Matching median of 15798 matches per calibrated image green
help Georeferencing yes, no 3D GCP yellow


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Preview

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mosaic dsm

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


Calibration Details

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Number of Calibrated Images 152 out of 155
Number of Geolocated Images 155 out of 155


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Initial Image Positions

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geotag

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.


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Computed Image/GCPs/Manual Tie Points Positions

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XY YZ
XZ
Uncertainty ellipses 100x magnified

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. Dark green ellipses indicate the absolute position uncertainty of the bundle block adjustment result.


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Absolute camera position and orientation uncertainties

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X [m]Y [m]Z [m]Omega [degree]Phi [degree]Kappa [degree]
Mean0.1080.1080.2600.0380.0450.015
Sigma0.0190.0190.0600.0030.0020.002


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Overlap

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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

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Number of 2D Keypoint Observations for Bundle Block Adjustment 2616063
Number of 3D Points for Bundle Block Adjustment 920244
Mean Reprojection Error [pixels] 0.153


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Internal Camera Parameters

exif

PMA2616_16.0_6252x4168 (RGB). Sensor Dimensions: 25.400 [mm] x 16.933 [mm]

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EXIF ID: PMA2616_16.0_6252x4168

Focal
Length
Principal
Point x
Principal
Point y
R1 R2 R3 T1 T2
Initial Values 3938.268 [pixel]
16.000 [mm]
3126.000 [pixel]
12.700 [mm]
2084.000 [pixel]
8.467 [mm]
0.000 0.000 0.000 0.000 0.000
Optimized Values 4250.876 [pixel]
17.270 [mm]
3143.132 [pixel]
12.770 [mm]
2047.068 [pixel]
8.317 [mm]
0.041 -0.083 0.058 -0.001 0.000
Uncertainties (Sigma) 0.484 [pixel]
0.002 [mm]
0.095 [pixel]
0.000 [mm]
0.069 [pixel]
0.000 [mm]
0.000 0.000 0.000 0.000 0.000
Correlated Independent F C0x C0y R1 R2 R3 T1 T2 The correlation between camera internal parameters determined by the bundle adjustment. White indicates a full correlation between the parameters, ie. any change in one can be fully compensated by the other. Black indicates that the parameter is completely independent, and is not affected by other parameters.
pixel count 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, on average, more than 16 ATPs have been extracted at the pixel location. Black indicates that, on average, 0 ATPs have been extracted at the pixel location. Click on the image to the see the average direction and magnitude of the re-projection error for each pixel. Note that the vectors are scaled for better visualization. The scale bar indicates the magnitude of 1 pixel error.


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2D Keypoints Table

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Number of 2D Keypoints per Image Number of Matched 2D Keypoints per Image
Median 74006 15798
Min 59407 66
Max 82828 36824
Mean 74050 17211


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3D Points from 2D Keypoint Matches

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Number of 3D Points Observed
In 2 Images 637118
In 3 Images 132107
In 4 Images 53615
In 5 Images 29341
In 6 Images 17497
In 7 Images 12889
In 8 Images 9955
In 9 Images 7834
In 10 Images 5671
In 11 Images 3931
In 12 Images 3352
In 13 Images 2622
In 14 Images 2114
In 15 Images 1175
In 16 Images 416
In 17 Images 264
In 18 Images 192
In 19 Images 115
In 20 Images 33
In 21 Images 3


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2D Keypoint Matches

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XY YZ
XZ
Uncertainty ellipses 1000x magnified
Number of matches
25 222 444 666 888 1111 1333 1555 1777 2000
Figure 5: Computed image positions with links between matched 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. Dark green ellipses indicate the relative camera position uncertainty of the bundle block adjustment result.


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Relative camera position and orientation uncertainties

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X [m]Y [m]Z [m]Omega [degree]Phi [degree]Kappa [degree]
Mean0.0130.0120.0170.0080.0070.002
Sigma0.0050.0040.0100.0040.0030.001


Geolocation Details

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Absolute Geolocation Variance

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Min Error [m] Max Error [m] Geolocation Error X [%] Geolocation Error Y [%] Geolocation Error Z [%]
- -15.00 0.00 0.00 0.00
-15.00 -12.00 0.00 0.00 0.00
-12.00 -9.00 0.00 0.00 0.00
-9.00 -6.00 0.66 0.00 0.00
-6.00 -3.00 0.00 0.00 0.00
-3.00 0.00 28.29 65.79 59.87
0.00 3.00 71.05 33.55 40.13
3.00 6.00 0.00 0.00 0.00
6.00 9.00 0.00 0.00 0.00
9.00 12.00 0.00 0.66 0.00
12.00 15.00 0.00 0.00 0.00
15.00 - 0.00 0.00 0.00
Mean [m] -0.000623 0.000078 -0.002670
Sigma [m] 0.538750 0.965841 0.162167
RMS Error [m] 0.538750 0.965841 0.162189

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


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Relative Geolocation Variance

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Relative Geolocation Error Images X [%] Images Y [%] Images Z [%]
[-1.00, 1.00] 99.34 99.34 100.00
[-2.00, 2.00] 100.00 99.34 100.00
[-3.00, 3.00] 100.00 100.00 100.00
Mean of Geolocation Accuracy [m] 5.000000 5.000000 10.000000
Sigma of Geolocation Accuracy [m] 0.000000 0.000000 0.000000

Images X, Y, Z represent the percentage of images with a relative geolocation error in X, Y, Z.


Initial Processing Details

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System Information

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Hardware CPU: Intel(R) Core(TM) i7-14700F
RAM: 128GB
GPU: NVIDIA GeForce RTX 4060 Ti (Driver: 32.0.15.8180)
Operating System Windows 10 Pro, 64-bit


Coordinate Systems

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Image Coordinate System WGS 84 (EGM 96 Geoid)
Output Coordinate System WGS 84 / UTM zone 47N (EGM 96 Geoid)


Processing Options

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Detected Template   3D Maps
Keypoints Image Scale Full, Image Scale: 1
Advanced: Matching Image Pairs Aerial Grid or Corridor
Advanced: Matching Strategy Use Geometrically Verified Matching: no
Advanced: Keypoint Extraction Targeted Number of Keypoints: Automatic
Advanced: Calibration Calibration Method: Standard
Internal Parameters Optimization: All
External Parameters Optimization: All
Rematch: Auto, yes


Point Cloud Densification details

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Processing Options

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Image Scale multiscale, 1/2 (Half image size, Default)
Point Density Optimal
Minimum Number of Matches 3
3D Textured Mesh Generation yes
3D Textured Mesh Settings: Resolution: Medium Resolution (default)
Color Balancing: no
LOD Generated: no
Advanced: 3D Textured Mesh Settings Sample Density Divider: 1
Advanced: Image Groups group1
Advanced: Use Processing Area yes
Advanced: Use Annotations yes
Time for Point Cloud Densification 07m:57s
Time for Point Cloud Classification NA
Time for 3D Textured Mesh Generation 06m:46s


Results

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Number of Generated Tiles 1
Number of 3D Densified Points 25734769
Average Density (per m3) 24.95