Point Cloud Rectification by GCP
We use drones for aerial survey of mine sites and measure volumes to track production volumes and stockpiles.
When I import point clouds from the same drone survey, at the same location, there is always a significant margin of error between the surveys, which can be reduced by use of Ground Control Points (GCPs).
I believe that a point cloud can be "offset" in that coordinate and elevation values can be scaled, adjusted.
1. How is this best accomplished?
Even though this above method will match the consecutive surveys up much better, still I expect that some margin of error exists that could be corrected by GCPs, effectively "rectifying" the point cloud the same way I rectify an image overlay by using 4 stationary, constant corner markers.
2. Can a point cloud be rectified rather than offset/scaled?
When I import point clouds from the same drone survey, at the same location, there is always a significant margin of error between the surveys, which can be reduced by use of Ground Control Points (GCPs).
I believe that a point cloud can be "offset" in that coordinate and elevation values can be scaled, adjusted.
1. How is this best accomplished?
Even though this above method will match the consecutive surveys up much better, still I expect that some margin of error exists that could be corrected by GCPs, effectively "rectifying" the point cloud the same way I rectify an image overlay by using 4 stationary, constant corner markers.
2. Can a point cloud be rectified rather than offset/scaled?
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