Sub-pixel Boundary Estimation
Sub-Pixel Boundary Estimation is a computational method in remote sensing and image analysis that refines field boundary delineation by estimating boundary positions at a spatial resolution finer than the nominal pixel resolution of the input imagery through interpolation, modeling, or sub-pixel classification techniques.
35
Publications
1.9K
Citations
97
Authors
53
Institutions
Publications per year
2017–2026
5
Parents
35
Accurate subpixel edge location based on partial area effect
Agustín Trujillo, Karl Krissian, Miguel Alemán-Flores et al. · Image and Vision Computing · 2012 · 263 citations
A new sub-pixel mapping algorithm based on a BP neural network with an observation model
Liangpei Zhang, Ke Wu, Yanfei Zhong et al. · Neurocomputing · 2008 · 164 citations
1–5 of 35
97
3
h-index
2
h-index
United States Naval Research Laboratory, United States
2 publications · 144 citations
2
h-index
2
h-index
Institute of Geographic Sciences and Natural Resources Research, China
2 publications · 94 citations
2
h-index
1–5 of 97
53

Chinese Academy of Sciences
Beijing, China
4 h-index
9 publications
339 citations
Wuhan University
Wuhan, China
3 h-index
9 publications
854 citations
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
Wuhan, China
3 h-index
9 publications
854 citations
Institute of Geographic Sciences and Natural Resources Research
Beijing, China
3 h-index
5 publications
192 citations
University of Nebraska–Lincoln
Lincoln, United States
2 h-index
4 publications
288 citations
University of Chinese Academy of Sciences
Beijing, China
2 h-index
3 publications
115 citations
Hacettepe University
Ankara, Türkiye
1 h-index
1 publications
74 citations
Iowa State University
Ames, United States
1 h-index
1 publications
16 citations
1–8 of 53
4 publications · 333 citations
4
h-index
3 publications · 215 citations
3
h-index
3 publications · 334 citations
3
h-index
2 publications · 78 citations
2
h-index
1 publications · 63 citations
1
h-index
1–5