Valley Detection
Valley Detection is a geomorphometric analysis method that identifies and delineates concave topographic features in digital elevation models by detecting local minima and drainage pathways characteristic of fluvial erosion patterns.
92
Publications
6.4K
Citations
274
Authors
124
Institutions
Publications per year
2017–2026
20
Parents
92
Fingerprint Image Enhancement and Minutiae Extraction
Raymond Thai · 2003 · 184 citations
Arts, Dermatology, Authentication +13
1–5 of 92
274
University of North Carolina at Chapel Hill, United States
3 publications · 341 citations
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3
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2
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2
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2
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1–5 of 274
124
North Carolina State University
Raleigh, United States
3 h-index
5 publications
417 citations

University of Auckland
Auckland, New Zealand
2 h-index
7 publications
246 citations

Royal Holloway University of London
Egham, United Kingdom
2 h-index
2 publications
51 citations
University of California, Berkeley
Berkeley, United States
2 h-index
2 publications
320 citations

Shanghai Jiao Tong University
Shanghai, China
2 h-index
2 publications
25 citations
University of Reading
Reading, United Kingdom
2 h-index
2 publications
122 citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
7 publications
377 citations

Northwestern Polytechnical University
Xi'an, China
2 h-index
5 publications
74 citations
1–8 of 124
TPAMI · 5 publications · 2.6K citations
5
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4 publications · 206 citations
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CAGEO · 4 publications · 132 citations
4
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3 publications · 149 citations
3
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2 publications · 122 citations
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1–5