Pixel-based Classification

Pixel-Based Classification is a remote sensing image analysis method that assigns a land cover or land use class to each individual pixel based on its spectral properties, without incorporating spatial context or neighboring pixel information.

1.3K

Publications

86.9K

Citations

4.6K

Authors

1.5K

Institutions

Publications per year

2017–2026

616

Variants

Pixel-based Image Classification

Authors

4.6K

  1. PM
    Peter M. Atkinson

    University of Southampton, United Kingdom

    8 publications · 1.2K citations

    8

    h-index

  2. LZ
    Liangpei Zhang

    Wuhan University, China

    8 publications · 2.9K citations

    8

    h-index

  3. HZ
    Helmi Zulhaidi Mohd Shafri

    Universiti Putra Malaysia, Malaysia

    7 publications · 307 citations

    7

    h-index

  4. PG
    Peng Gong

    Tsinghua University, China

    7 publications · 1.7K citations

    7

    h-index

  5. FR
    Franz Rottensteiner

    Leibniz University Hannover, Germany

    6 publications · 439 citations

    6

    h-index

1–5 of 4.6K

Venues

  1. Remote Sensing

    118 publications · 7.4K citations

    45

    h-index

  2. International Journal of Remote Sensing

    69 publications · 5.3K citations

    35

    h-index

  3. 34

    h-index

  4. 27

    h-index

  5. Sensors

    17 publications · 905 citations

    17

    h-index

1–5