Lidar Point Cloud Processing
Lidar Point Cloud Processing is a computational methodology that transforms raw three-dimensional point cloud data acquired through Lidar remote sensing into structured, interpretable information by applying algorithms for filtering, segmentation, classification, and feature extraction specific to the geometric and radiometric properties of the points.
1.3K
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1K
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2017–2026
859
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Wuhan University
Wuhan, China
37 h-index
285 publications
12.2K citations
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
Wuhan, China
30 h-index
123 publications
6.6K citations

Chinese Academy of Sciences
Beijing, China
27 h-index
127 publications
7.4K citations

University of Waterloo
Waterloo, Canada
25 h-index
57 publications
4.1K citations
Xiamen University
Xiamen, China
23 h-index
127 publications
6K citations
University of Chinese Academy of Sciences
Beijing, China
18 h-index
50 publications
2.6K citations

University of Calgary
Calgary, Canada
18 h-index
33 publications
1.6K citations
University of California, Berkeley
Berkeley, United States
16 h-index
49 publications
7.3K citations
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73 publications · 7.1K citations
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120 publications · 5K citations
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41 publications · 1.8K citations
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Repository · 37 publications · 1.5K citations
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