Point Cloud Filtering
Point Cloud Filtering is a point cloud processing technique that distinguishes itself by selectively removing or retaining data points from an unstructured 3D point cloud based on geometric, radiometric, or contextual criteria to enhance subsequent elevation modeling accuracy.
183
Publications
14.5K
Citations
679
Authors
253
Institutions
Publications per year
2017–2026
131
183
3D is here: Point Cloud Library (PCL)
Radu Bogdan Rusu, Steve Cousins · 2011 · 4.8K citations
An Easy-to-Use Airborne LiDAR Data Filtering Method Based on Cloth Simulation
Wuming Zhang, Jianbo Qi, Peng Wan et al. · Remote Sensing · 2016 · 1.5K citations · Full text
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253
Wuhan University
Wuhan, China
11 h-index
32 publications
1.3K citations

Deakin University
Burwood, Australia
8 h-index
16 publications
728 citations
China University of Mining and Technology
Xuzhou, China
7 h-index
18 publications
544 citations
Shandong University of Science and Technology
Qingdao, China
6 h-index
24 publications
660 citations
Nanyang Technological University
Singapore, Singapore
6 h-index
12 publications
535 citations

University of Waterloo
Waterloo, Canada
6 h-index
15 publications
890 citations
Chinese Academy of Surveying and Mapping
Beijing, China
5 h-index
15 publications
278 citations

Peking University
Beijing, China
5 h-index
13 publications
401 citations
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25 publications · 2.4K citations
19
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11 publications · 325 citations
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8 publications · 277 citations
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TVCG · 6 publications · 459 citations
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6 publications · 278 citations
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