Pixel-based Change Attribution

Pixel-Based Change Attribution is a computational method in remote sensing image analysis that identifies and quantifies spatiotemporal changes at the individual pixel level by comparing multispectral or multitemporal satellite imagery through statistical or machine learning models.

6

Publications

206

Citations

22

Authors

16

Institutions

Publications per year

2017–2026

3

Authors

22

  1. GK
    Gabriella Kecskes

    University of Szeged, Hungary

    1 publications · 13 citations

    1

    h-index

  2. CK
    Chander Kumar Singh

    TERI University, India

    1 publications · 68 citations

    1

    h-index

  3. WZ
    Wei Zhao

    Chinese Academy of Sciences, China

    1 publications · 58 citations

    1

    h-index

  4. CW
    Chaofan Wu

    Zhejiang Normal University, China

    1 publications · 26 citations

    1

    h-index

  5. ME
    Michael E. Meadows

    University of Cape Town, South Africa

    1 publications · 26 citations

    1

    h-index

1–5 of 22

Venues

  1. Environmental Monitoring and Assessment

    1 publications · 26 citations

    1

    h-index

  2. Clinical Otolaryngology

    1 publications · 13 citations

    1

    h-index

  3. Information Fusion

    1 publications · 21 citations

    1

    h-index

  4. Earth Science Informatics

    1 publications · 68 citations

    1

    h-index

  5. 1

    h-index

1–5