Lidar Data Processing
LiDAR Data Processing is a computational methodology within 3D Geographic Information Systems that transforms raw light detection and ranging point cloud data into geospatially accurate, structured representations for mine survey analysis through noise filtering, registration, segmentation, and feature extraction.
961
Publications
49.3K
Citations
2.9K
Authors
947
Institutions
Publications per year
2017–2026
480
961
SECOND: Sparsely Embedded Convolutional Detection
Yan Yan, Yuxing Mao, Bo Li · Sensors · 2018 · 3.2K citations · Full text
1–5 of 961
2.9K
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947
Wuhan University
Wuhan, China
24 h-index
128 publications
5K citations
University of Nevada, Reno
Reno, United States
19 h-index
59 publications
3K citations

Chinese Academy of Sciences
Beijing, China
17 h-index
47 publications
2.6K citations
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
Wuhan, China
14 h-index
45 publications
2K citations

University of Waterloo
Waterloo, Canada
13 h-index
23 publications
2K citations

Universidade de Vigo
Vigo, Spain
12 h-index
42 publications
1.9K citations

Centre National de la Recherche Scientifique
Paris, France
12 h-index
28 publications
1.7K citations
Toronto Metropolitan University
Toronto, Canada
11 h-index
20 publications
618 citations
1–8 of 947
36 publications · 4.5K citations
30
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56 publications · 2.3K citations
26
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23 publications · 4.1K citations
19
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32 publications · 531 citations
16
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GRSL · 17 publications · 827 citations
15
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