Spatial Simplification is a vector data processing technique that reduces the geometric complexity of spatial features by eliminating redundant or less significant vertices while preserving the essential shape and topological characteristics of the original geometry.
26
Publications
901
Citations
77
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38
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Publications per year
2017–2026
6
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Publications
26
Jonathan Muckell, Jeong-Hyon Hwang, Vikram Patil et al. · 2011 · 126 citations
Computing, Information Technology, Global Navigation Satellite Systems +16
1–5 of 26
Authors
77
- JS
2
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2
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- HD
1
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1
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1
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1–5 of 77
Institutions
38
Ministry of Natural Resources
Beijing, China
2 h-index
11 publications
211 citations
Nanjing University
Nanjing, China
2 h-index
11 publications
211 citations
University of Illinois Urbana-Champaign
Urbana, United States
2 h-index
4 publications
50 citations
The University of Tokyo
Tokyo, Japan
2 h-index
3 publications
33 citations
State Key Laboratory of Remote Sensing Science
Beijing, China
1 h-index
3 publications
72 citations
Wuhan University
Wuhan, China
1 h-index
1 publications
13 citations
Xi'an Jiaotong University
Xi'an, China
1 h-index
6 publications
108 citations
Maritime University of Szczecin
Szczecin, Poland
1 h-index
1 publications
28 citations
1–8 of 38
Venues
- ISPRS International Journal of Geo-Information
IJGI · 2 publications · 40 citations
2
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- International Journal of Geographical Information Systems
2 publications · 55 citations
2
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- HAL (Le Centre pour la Communication Scientifique Directe)
Repository · 2 publications · 23 citations
2
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- Geo-spatial Information Science
1 publications · 13 citations
1
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- International Journal of Remote Sensing
1 publications · 230 citations
1
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