Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by laser-scanning technologies. Doing the same with forest data has proven far more difficult. But now a team from Purdue University’s Department of Computer Science and Institute for Digital Forestry and Germany’s Kiel University has introduced a new AI method for isolating and reconstructing forest trees that they call TreeStructor.
AI helps find trees in a forest: Researchers achieve 3D forest reconstruction from remote sensing data
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