Lidar Data Preprocessing
LiDAR Data Preprocessing is a computational procedure that constitutes the initial stage in LiDAR-based elevation modeling, wherein raw point cloud data are systematically cleaned, classified, and transformed to remove noise, correct errors, and organize spatial information for subsequent terrain analysis.
203
Publications
11.2K
Citations
715
Authors
310
Institutions
Publications per year
2017–2026
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Territoires, Environnement, Télédétection et Information Spatiale
5 publications · 353 citations
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University of Nevada, Reno
Reno, United States
10 h-index
25 publications
1.7K citations

Chinese Academy of Sciences
Beijing, China
7 h-index
27 publications
729 citations

University of Maribor
Maribor, Slovenia
6 h-index
17 publications
2.2K citations
State Key Laboratory of Remote Sensing Science
Beijing, China
6 h-index
13 publications
451 citations

US Forest Service
Washington, United States
5 h-index
9 publications
445 citations
Wuhan University
Wuhan, China
5 h-index
7 publications
300 citations
Shandong University
Jinan, China
4 h-index
9 publications
289 citations
Centre de Coopération Internationale en Recherche Agronomique pour le Développement
Paris, France
4 h-index
12 publications
555 citations
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15 publications · 1.8K citations
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9 publications · 1.5K citations
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8 publications · 465 citations
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JAG · 6 publications · 331 citations
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