Tips for Ground Classification with DIM datasets

Published On: October 23, 2017


LP360 can be inefficient when working with very dense point clouds, such as Dense Image Matching, for ground classification if appropriate steps are not taken in the workflow. In fact, be aware that it simply crashes if you have to use a large seed size (e.g. 200 feet on some machines) that requires more points to load than there is memory for doing so.

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