analyse local thickness of laserscan-data || road surface
Posted: Tue Jun 22, 2021 8:52 am
Dear CC-users,
i am searching for an elegant way of a "local pointcloud analysis".
I attached some example screenshots and looking forward to read your suggestions.
The scan is from an airborne lidar and i'd like to assess the quality of the scan on a road surface.
A paved road should be a sharp / crisp surface in the scan data.
The more noise and thickness the data shows the less useful it is.
What in your eyes could be a good approach to easily see areas of higher thickness, its thickness values and so on...?
From my point of view a good approach would be a segmentation first (subdivide into a grid or define a radius) and then a local analysis for each segment.
What would be your suggested steps for it?
;)
Thanks and greetings
Alex
i am searching for an elegant way of a "local pointcloud analysis".
I attached some example screenshots and looking forward to read your suggestions.
The scan is from an airborne lidar and i'd like to assess the quality of the scan on a road surface.
A paved road should be a sharp / crisp surface in the scan data.
The more noise and thickness the data shows the less useful it is.
What in your eyes could be a good approach to easily see areas of higher thickness, its thickness values and so on...?
From my point of view a good approach would be a segmentation first (subdivide into a grid or define a radius) and then a local analysis for each segment.
What would be your suggested steps for it?
;)
Thanks and greetings
Alex