Classification Uncertainty

Classification Uncertainty is a type of geospatial uncertainty that characterizes the doubt associated with the assignment of spatial entities to predefined categories, arising from ambiguities in class boundaries, spectral or feature similarity, or probabilistic classification outcomes.

218

Publications

10.5K

Citations

727

Authors

338

Institutions

Publications per year

2017–2026

96

Authors

727

  1. BH
    Brian H. Ross

    University of Illinois Urbana-Champaign, United States

    5 publications · 309 citations

    5

    h-index

  2. GL
    Gregory L. Murphy

    New York University, United States

    4 publications · 223 citations

    4

    h-index

  3. OA
    Ola Ahlqvist

    The Ohio State University, United States

    4 publications · 264 citations

    4

    h-index

  4. QH
    Qinghua Hu

    Tianjin University, China

    3 publications · 93 citations

    3

    h-index

  5. BR
    Ben R. Newell

    UNSW Sydney, Australia

    3 publications · 59 citations

    3

    h-index

1–5 of 727

Venues

  1. International Journal of Remote Sensing

    12 publications · 584 citations

    11

    h-index

  2. 11

    h-index

  3. Remote Sensing

    12 publications · 348 citations

    11

    h-index

  4. arXiv (Cornell University)

    Repository · 7 publications · 135 citations

    7

    h-index

  5. Photogrammetric Engineering & Remote Sensing

    5 publications · 192 citations

    5

    h-index

1–5