Hi,
I have some confusing parts in ground point classification.
1. The attached figure shows ground points classified using Lidar360 v4 for a small uav lidar data set (the drone was flown in winter over snow). the scanned area composed of an open area and a forest, with no buildings. I would expect all the points in the open area to be classified as ground, but I don't get that result (dispersion of the points vertically in open area is less than 10 cm). There are sufficient amount of ground points to delineate ground surface, but there are many unclassified points in the open area as well. Am I doing something wrong here?
The parameters I used here are:
2. In general, What exactly is the edge length? I'm not sure I understand it right.
is it the length of P-V1, P-V2, P-V3? Or the length of the triangle on the projected plane, V1-V2, V2-V3, V3-V1?
3. As mentioned in the manual software uses PTIN algorithm in ground point classification. Does the software uses downward densification first and then the upward densification of TIN or just the upward densification? Is the algorithm used in the software a simpler version of PTIN?
Could you please clarify these things for me?
Thank you very much