Lidar Point Cloud Analysis
LiDAR Point Cloud Analysis is a methodological framework within remote sensing image analysis that specifically processes and interprets three-dimensional point cloud data acquired by Light Detection and Ranging (LiDAR) systems to extract geospatial information, distinguished from other remote sensing analyses by its reliance on active laser scanning to generate high-resolution spatial structures.
503
Publications
22.6K
Citations
1.8K
Authors
639
Institutions
Publications per year
2017–2026
299
503
LiDAR Iris for Loop-Closure Detection
Ying Wang, Zezhou Sun, Chengzhong Xu et al. · 2020 · 249 citations
1–5 of 503
1.8K
15
h-index
12
h-index
9
h-index
8
h-index
8
h-index
1–5 of 1.8K
639
Wuhan University
Wuhan, China
26 h-index
109 publications
5.6K citations

Chinese Academy of Sciences
Beijing, China
21 h-index
77 publications
3.8K citations
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
Wuhan, China
19 h-index
60 publications
3.4K citations

University of Waterloo
Waterloo, Canada
15 h-index
21 publications
1.4K citations

Centre National de la Recherche Scientifique
Paris, France
11 h-index
39 publications
1.9K citations

University of Calgary
Calgary, Canada
10 h-index
15 publications
702 citations
Xiamen University
Xiamen, China
9 h-index
27 publications
1.5K citations
State Key Laboratory of Remote Sensing Science
Beijing, China
8 h-index
19 publications
739 citations
1–8 of 639
60 publications · 2.5K citations
31
h-index
32 publications · 2.6K citations
28
h-index
GRSL · 16 publications · 892 citations
16
h-index
14 publications · 836 citations
14
h-index
15 publications · 756 citations
14
h-index
1–5