Architectural Feature Detection
Architectural Feature Detection is a remote sensing method that identifies and delineates structural elements of cultural heritage sites, such as walls, roofs, and openings, by analyzing spatial, spectral, and geometric patterns in imagery to distinguish them from surrounding non-architectural or natural features.
141
Publications
5.5K
Citations
410
Authors
182
Institutions
Publications per year
2017–2026
78
141
Detecting buildings in aerial images
A. Huertas, R. Nevatia · Computer Vision Graphics and Image Processing · 1988 · 294 citations
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University of Southern California
Los Angeles, United States
5 h-index
10 publications
1K citations

Centre National de la Recherche Scientifique
Paris, France
4 h-index
12 publications
564 citations
Technical University of Munich
Munich, Germany
4 h-index
6 publications
566 citations
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
Wuhan, China
3 h-index
1 publications
35 citations

Télécom Paris
Palaiseau, France
3 h-index
6 publications
364 citations
University of California, Berkeley
Berkeley, United States
3 h-index
7 publications
334 citations

University of Alberta
Edmonton, Canada
3 h-index
7 publications
126 citations
Wuhan University
Wuhan, China
3 h-index
1 publications
35 citations
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6 publications · 280 citations
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6 publications · 177 citations
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5 publications · 492 citations
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1 publications · 14 citations
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IJGI · 4 publications · 158 citations
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