Siamese Network-based Change Detection

Siamese Network-Based Change Detection is a change detection method that employs a Siamese neural network architecture to model pixel-wise or region-wise differences between co-registered multi-temporal remote sensing images by learning discriminative change representations through shared-weight dual subnetworks.

169

Publications

14.2K

Citations

576

Authors

166

Institutions

Publications per year

2017–2026

169

Authors

576

  1. MX
    Min Xia

    Nanjing University of Information Science and Technology, China

    5 publications · 241 citations

    7

    h-index

  2. HL
    Haifeng Lin

    Nanjing Forestry University, China

    4 publications · 137 citations

    6

    h-index

  3. LZ
    Liangpei Zhang

    Wuhan University, China

    6 publications · 868 citations

    6

    h-index

  4. LJ
    Licheng Jiao

    Xidian University, China

    5 publications · 263 citations

    6

    h-index

  5. LW
    Liguo Weng

    Nanjing University of Information Science and Technology, China

    3 publications · 79 citations

    5

    h-index

1–5 of 576

Venues

  1. 22

    h-index

  2. Remote Sensing

    27 publications · 2.8K citations

    17

    h-index

  3. IEEE Geoscience and Remote Sensing Letters

    GRSL · 12 publications · 2.2K citations

    14

    h-index

  4. 14

    h-index

  5. 5

    h-index

1–5