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

Authors

97

  1. YZ
    Yanfei Zhong

    Wuhan University, China

    3 publications · 251 citations

    3

    h-index

  2. PM
    Peter M. Atkinson

    University of Southampton, United Kingdom

    2 publications · 129 citations

    2

    h-index

  3. DA
    David A. Peterson

    United States Naval Research Laboratory, United States

    2 publications · 144 citations

    2

    h-index

  4. JW
    Jun Wang

    University of Iowa, United States

    2 publications · 144 citations

    2

    h-index

  5. YG
    Yong Ge

    Institute of Geographic Sciences and Natural Resources Research, China

    2 publications · 94 citations

    2

    h-index

1–5 of 97

Venues

  1. Remote Sensing of Environment

    4 publications · 333 citations

    4

    h-index

  2. 3

    h-index

  3. Image and Vision Computing

    3 publications · 334 citations

    3

    h-index

  4. International Journal of Remote Sensing

    2 publications · 78 citations

    2

    h-index

  5. Pattern Recognition

    1 publications · 63 citations

    1

    h-index

1–5