Object-based Urban Mapping
Object-Based Urban Mapping is a remote sensing image analysis approach that identifies and classifies urban features by segmenting imagery into meaningful image objects based on spectral, spatial, and contextual characteristics, rather than relying solely on pixel-level information.
118
Publications
6.8K
Citations
369
Authors
168
Institutions
Publications per year
2017–2026
55
Variants
Object-oriented Urban Mapping
Parents
118
An object-based convolutional neural network (OCNN) for urban land use classification
Ce Zhang, Isabel Sargent, Xin Pan et al. · Remote Sensing of Environment · 2018 · 429 citations · Full text
1–5 of 118
369
5
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4
h-index
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR), Germany
3 publications · 134 citations
3
h-index
3
h-index
3
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1–5 of 369
168
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
Wuhan, China
7 h-index
22 publications
2.8K citations
Wuhan University
Wuhan, China
7 h-index
25 publications
3.2K citations

Chinese Academy of Sciences
Beijing, China
6 h-index
20 publications
1.3K citations
University of Chinese Academy of Sciences
Beijing, China
4 h-index
12 publications
596 citations
Research Center for Eco-Environmental Sciences
Beijing, China
4 h-index
14 publications
843 citations
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)
Cologne, Germany
4 h-index
11 publications
508 citations

Istanbul Technical University
Istanbul, Türkiye
3 h-index
10 publications
158 citations
Universiti Putra Malaysia
Seri Kembangan, Malaysia
3 h-index
7 publications
259 citations
1–8 of 168
18 publications · 791 citations
15
h-index
10 publications · 558 citations
10
h-index
8 publications · 1.3K citations
8
h-index
4 publications · 94 citations
5
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4 publications · 293 citations
5
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1–5