Laser & Optoelectronics Progress, Volume. 62, Issue 8, 0828001(2025)

High-Resolution Remote-Sensing Change Detection Algorithm Based on Contextual Siam-UNet++

Jian Zheng1,2 and Zihang Xu1、*
Author Affiliations
  • 1School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, Jiangxi , China
  • 2Yichun Lithium New Energy Industry Research Institute, Jiangxi University of Science and Technology, Yichun 336023, Jiangxi , China
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    References(24)

    [1] Li H C, Guan H Y, Lei X D et al. Point-voxel consistency constraint network for LiDAR point cloud classification under urban scenes[J]. Chinese Journal of Lasers, 51, 1310003(2024).

    [4] Liu Q, Cao L, Tian S et al. Structure-aware multiscale hybrid network for change detection of remote sensing images[J]. Laser & Optoelectronics Progress, 61, 1428008(2024).

    [13] Shen Y X, Jin T, Dan J. Semi-supervised infrared image target detection algorithm based on key points[J]. Laser & Optoelectronics Progress, 60, 1428005(2023).

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    Jian Zheng, Zihang Xu. High-Resolution Remote-Sensing Change Detection Algorithm Based on Contextual Siam-UNet++[J]. Laser & Optoelectronics Progress, 2025, 62(8): 0828001

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Aug. 16, 2024

    Accepted: Oct. 8, 2024

    Published Online: Apr. 3, 2025

    The Author Email: Zihang Xu (xuzihangxzh@163.com)

    DOI:10.3788/LOP241857

    CSTR:32186.14.LOP241857

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