Pixel-based Image Analysis

Pixel-Based Image Analysis is a remote sensing image interpretation method that classifies land cover by analyzing spectral information of individual pixels independently, without incorporating spatial or contextual relationships among neighboring pixels.

574

Publications

43.6K

Citations

2.1K

Authors

785

Institutions

Publications per year

2017–2026

213

Authors

2.1K

  1. TB
    Thomas Blaschke

    University of Salzburg, Austria

    8 publications · 5.6K citations

    8

    h-index

  2. PM
    Peter M. Atkinson

    University of Southampton, United Kingdom

    6 publications · 826 citations

    6

    h-index

  3. MA
    Michael A. Wulder

    Canadian Forest Service, Canada

    6 publications · 1.2K citations

    6

    h-index

  4. YG
    Yong Ge

    Institute of Geographic Sciences and Natural Resources Research, China

    5 publications · 350 citations

    5

    h-index

  5. LW
    Leiguang Wang

    Southwest Forestry University, China

    4 publications · 82 citations

    4

    h-index

1–5 of 2.1K

Venues

  1. Remote Sensing

    49 publications · 2.7K citations

    31

    h-index

  2. International Journal of Remote Sensing

    38 publications · 3.7K citations

    25

    h-index

  3. 18

    h-index

  4. 12

    h-index

  5. 12

    h-index

1–5