Object-based Landform Classification
Object-Based Landform Classification is a landform classification approach that partitions continuous terrain into discrete, homogeneous units based on spectral, geometric, and contextual image characteristics prior to classification, distinguishing it from pixel-based methods by leveraging segmented objects as the fundamental analysis unit.
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2017–2026
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Nikos Koutsias, Maria Tsakiri–Strati, Michael Karteris · ISPRS Journal of Photogrammetry and Remote Sensing · 2007 · 276 citations
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University of Salzburg
Salzburg, Austria
5 h-index
7 publications
1K citations

Instituto Nacional de Pesquisas Espaciais
São José dos Campos, Brazil
4 h-index
10 publications
1.4K citations
Nanjing Normal University
Nanjing, China
3 h-index
11 publications
300 citations

West University of Timişoara
Timișoara, Romania
3 h-index
3 publications
670 citations

University of Amsterdam
Amsterdam, The Netherlands
2 h-index
5 publications
708 citations
Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application
Nanjing, China
2 h-index
9 publications
228 citations

University of Twente
Enschede, The Netherlands
2 h-index
4 publications
132 citations

Chinese Academy of Sciences
Beijing, China
2 h-index
3 publications
294 citations
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JAG · 5 publications · 237 citations
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4 publications · 606 citations
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