Terrain Pattern Recognition
Terrain Pattern Recognition is a computational method in geospatial analysis that identifies and classifies recurring topographic configurations by extracting morphometric signatures from digital elevation data, distinguishing itself from related terrain analysis techniques through its focus on spatial repetition and structural regularity in landform arrangements.
69
Publications
3.7K
Citations
209
Authors
102
Institutions
Publications per year
2017–2026
20
69
Automated object-based classification of topography from SRTM data
Lucian Drăguţ, Clemens Eisank · Geomorphology · 2011 · 231 citations · Full text
Győző Jordán, Bart M. L. Meijninger, Douwe J.J. van Hinsbergen et al. · International Journal of Applied Earth Observation and Geoinformation · 2005 · 163 citations
1–5 of 69
209
2
h-index
2
h-index
2
h-index
Rutgers, The State University of New Jersey, United States
2 publications · 156 citations
2
h-index
2
h-index
1–5 of 209
102
Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application
Nanjing, China
4 h-index
14 publications
403 citations
Nanjing Normal University
Nanjing, China
4 h-index
14 publications
403 citations
Rutgers Sexual and Reproductive Health and Rights
Utrecht, Netherlands
2 h-index
6 publications
468 citations
China University of Geosciences
Wuhan, China
2 h-index
4 publications
162 citations

University of Salzburg
Salzburg, Austria
2 h-index
3 publications
518 citations
University of Illinois Urbana-Champaign
Urbana, United States
2 h-index
6 publications
273 citations
University of Rhode Island
Kingston, United States
2 h-index
6 publications
204 citations

Chinese Academy of Sciences
Beijing, China
2 h-index
7 publications
114 citations
1–8 of 102
CAGEO · 5 publications · 192 citations
5
h-index
3 publications · 789 citations
3
h-index
TPAMI · 2 publications · 131 citations
2
h-index
2 publications · 140 citations
2
h-index
2 publications · 101 citations
2
h-index
1–5