Stereo Image Height Estimation is a methodological framework within remote sensing that estimates vertical vegetation structure by exploiting parallax disparities between co-registered stereo image pairs to derive three-dimensional point correspondences and subsequently compute canopy heights.
19
Publications
597
Citations
60
Authors
33
Institutions
Publications per year
2017–2026
5
Parents
Publications
19
1–5 of 19
Authors
60
- GS
2
h-index
- WN
2
h-index
- RM
1
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- DM
1
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- AQ
1
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1–5 of 60
Institutions
33
Chinese Academy of Sciences
Beijing, China
2 h-index
4 publications
59 citations
State Key Laboratory of Remote Sensing Science
Beijing, China
2 h-index
4 publications
59 citations
Wuhan University
Wuhan, China
2 h-index
7 publications
210 citations
Institute of Remote Sensing and Digital Earth
Beijing, China
2 h-index
4 publications
59 citations
University of Maryland, College Park
College Park, United States
2 h-index
3 publications
43 citations
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
Wuhan, China
2 h-index
5 publications
126 citations
Nanjing University
Nanjing, China
1 h-index
1 publications
36 citations
Leibniz University Hannover
Hanover, Germany
1 h-index
1 publications
73 citations
1–8 of 33
Venues
- Remote Sensing
3 publications · 73 citations
3
h-index
- Remote Sensing Letters
1 publications · 47 citations
1
h-index
- Bulletin of the American Meteorological Society
BAMS · 1 publications · 92 citations
1
h-index
- International Journal of Remote Sensing
1 publications · 36 citations
1
h-index
- The Photogrammetric Record
1 publications · 12 citations
1
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1–5