Object-based Urban Mapping

Object-Based Urban Mapping is a remote sensing image analysis approach that identifies and classifies urban features by segmenting imagery into meaningful image objects based on spectral, spatial, and contextual characteristics, rather than relying solely on pixel-level information.

118

Publications

6.8K

Citations

369

Authors

168

Institutions

Publications per year

2017–2026

55

Variants

Object-oriented Urban Mapping

Authors

369

  1. WZ
    Weiqi Zhou

    Research Center for Eco-Environmental Sciences, China

    5 publications · 541 citations

    5

    h-index

  2. LZ
    Liangpei Zhang

    Wuhan University, China

    4 publications · 361 citations

    4

    h-index

  3. HT
    Hannes Taubenböck

    Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR), Germany

    3 publications · 134 citations

    3

    h-index

  4. JA
    Jagannath Aryal

    University of Tasmania, Australia

    3 publications · 507 citations

    3

    h-index

  5. XH
    Xin Huang

    Wuhan University, China

    3 publications · 243 citations

    3

    h-index

1–5 of 369