Hi and thanks for creating this great software.
I wanted to compare a point cloud based on an aerial laser scan with a terrestrial scan in the same area.
The point cloud based on the aerial scan was relatively low point density with 2 points per m2, which was used as the reference cloud.
The point cloud based on the terrestrial scan mean distance is approximately 4 cm below, which is because of GPS adjustments.
Can anyone explain why the standard deviation so high?
Cloud-cloud absolute distances (Z) high standard deviation
Re: Cloud-cloud absolute distances (Z) high standard deviation
Well, many factors can explain the standard deviation, but it's generally mostly the density (but it seems you have used a mesh as reference so it should be ok) and the noise (which depends itself on a lot of factors). Moroever considering that the reference density is low, you probably miss a lot of small features which may be present in the higher density scan.
You can visualize the distances on your compared cloud: is it randomly distributed or do you observe patterns?
You can visualize the distances on your compared cloud: is it randomly distributed or do you observe patterns?
Daniel, CloudCompare admin