Single-image Height Estimation
Single-Image Height Estimation is a methodological framework within remote sensing and computer vision that enables the prediction of tree height from a single two-dimensional image by leveraging geometric priors, scene constraints, or deep learning models, distinguishing it from multi-view or multi-sensor height estimation approaches.
24
Publications
1.2K
Citations
65
Authors
42
Institutions
Publications per year
2017–2026
17
Parents
24
IM2ELEVATION: Building Height Estimation from Single-View Aerial Imagery
Chao-Jung Liu, Vladimir A. Krylov, Paul J. Kane et al. · Remote Sensing · 2020 · 86 citations · Full text
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42

University of Tehran
Tehran, Iran
3 h-index
5 publications
317 citations
Technical University of Munich
Munich, Germany
2 h-index
6 publications
318 citations

University of Twente
Enschede, The Netherlands
2 h-index
4 publications
109 citations
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)
Cologne, Germany
2 h-index
6 publications
318 citations
University of Maryland, College Park
College Park, United States
1 h-index
1 publications
52 citations
Beijing Academy of Artificial Intelligence
Beijing, China
1 h-index
3 publications
81 citations

University of Helsinki
Helsinki, Finland
1 h-index
2 publications
68 citations
Chinese University of Hong Kong, Shenzhen
Shenzhen, China
1 h-index
1 publications
63 citations
1–8 of 42
5 publications · 333 citations
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GRSL · 3 publications · 207 citations
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3 publications · 148 citations
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CVIU · 2 publications · 47 citations
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Repository · 1 publications · 101 citations
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