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Messages - ken lau

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1
Number of images: 309   Camera stations: 309
Flying altitude: 10 m   Tie points: 96,143
Ground resolution: 3.28 mm/pix   Projections: 666,699
Coverage area: 2.58e+03 m²   Reprojection error: 1.09 pix


other case showed different result.Reprojection error: 1.09 pix, while the image pix is 0.634. in fact, what should GCP's image pix be? 0.5 pix is the perfect?



thank you for answering my question

2
Number of images: 295              Camera stations: 286
Flying altitude: 7.45 m                       Tie points: 276,036
Ground resolution: 2.46 mm/pix       Projections: 924,151
Coverage area: 3.34e+03 m²       Reprojection error: 0.531 pix


Reprojection error: 0.531 pix

GCP error in pix: 0.623


after applying GCP, the error in pixel should be smaller than Reprojection error, but the result is different now.

3
General / why there are many hole in sparse point cloud?
« on: October 26, 2022, 06:41:58 PM »
why there are many hole in sparse point cloud?
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4
General / hole in dense point cloud?
« on: October 20, 2022, 06:56:32 PM »
hole in dense point cloud?
Is it any problem?  it seems some holes (Blue) in the middle in dense pointcloud, but it is fine when generating orthophoto.

5
Camera Calibration / Why the RMSE become negative?
« on: September 26, 2022, 06:49:43 PM »
X error (cm) - root mean square error for X coordinate for all the cameras.
Y error (cm) - root mean square error for Y coordinate for all the cameras.
Z error (cm) - root mean square error for Z coordinate for all the cameras.

this three sections contains negative result in GCPs, is that correct?
it is interesting that the total RMSE remain positive result.
another question: Total (cm): 15 and  Image (pix): 0.6, is it good result for GCPs?  >:( >:(

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