Geospatial Feature Extraction
Geospatial Feature Extraction is a computational process that identifies and derives meaningful, location-based attributes from raw spatial data to support higher-level analysis, distinguished by its focus on transforming georeferenced observations into structured features representing real-world phenomena.
74
Publications
4.1K
Citations
251
Authors
116
Institutions
Publications per year
2017–2026
30
Parents
74
What makes Paris look like Paris?
Carl Doersch, Saurabh Singh, Abhinav Gupta et al. · ACM Transactions on Graphics · 2012 · 687 citations
Computing, Geography, Geoinformatics +13
1–5 of 74
251
4
h-index
4
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Institut national de recherche en sciences et technologies du numérique, France
3 publications · 881 citations
3
h-index
3
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3
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1–5 of 251
116
University of Southern California
Los Angeles, United States
5 h-index
12 publications
453 citations
China University of Geosciences
Wuhan, China
4 h-index
12 publications
251 citations
United States Geological Survey
Reston, United States
3 h-index
3 publications
61 citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
3 h-index
5 publications
1.6K citations
Wuhan University
Wuhan, China
3 h-index
11 publications
206 citations
University of Colorado Boulder
Boulder, United States
3 h-index
6 publications
266 citations
Carnegie Mellon University
Pittsburgh, United States
3 h-index
10 publications
3.2K citations
George Mason University
Fairfax, United States
3 h-index
5 publications
1.7K citations
1–8 of 116
4 publications · 74 citations
4
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4 publications · 221 citations
4
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4 publications · 80 citations
4
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CAGEO · 3 publications · 110 citations
3
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Repository · 3 publications · 42 citations
3
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1–5