Mixed Pixel Analysis

Mixed Pixel Analysis is a methodological framework in remote sensing that identifies and quantifies the constituent land cover types within individual image pixels exhibiting spectral heterogeneity due to coarse spatial resolution.

222

Publications

18K

Citations

652

Authors

305

Institutions

Publications per year

2017–2026

68

Authors

652

  1. AP
    Antonio Plaza

    Universidad de Extremadura, Spain

    15 publications · 3.7K citations

    15

    h-index

  2. GM
    Giles M. Foody

    University of Nottingham, United Kingdom

    8 publications · 832 citations

    8

    h-index

  3. FL
    Feng Ling

    Chinese Academy of Sciences, China

    7 publications · 260 citations

    7

    h-index

  4. XJ
    Xiuping Jia

    UNSW Sydney, Australia

    7 publications · 226 citations

    7

    h-index

  5. YD
    Yun Du

    Chinese Academy of Sciences, China

    6 publications · 216 citations

    6

    h-index

1–5 of 652

Venues

  1. 31

    h-index

  2. International Journal of Remote Sensing

    25 publications · 2.4K citations

    21

    h-index

  3. 15

    h-index

  4. Remote Sensing

    17 publications · 672 citations

    14

    h-index

  5. IEEE Geoscience and Remote Sensing Letters

    GRSL · 8 publications · 376 citations

    8

    h-index

1–5