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I tried naively to use nearest neighbors to separate the ground and the trees. I iteratively set a point to be a tree, ground, or other type of point. A point is a tree or ground point if a percentage of the k=10 nearest neighbors are tree or ground points. The percentage decreases with each iteration. The initial guess of trees are points with intensity <...


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