Acta Optica Sinica, Volume. 44, Issue 18, 1828001(2024)

Remote Sensing Image Change Detection Method Based on Adaptive Boundary Sensing

Yong Liu1, Haitao Guo1, Jun Lu1, Xiangyun Liu1、*, Lei Ding1, Kun Zhu1, and Donghang Yu2
Author Affiliations
  • 1Institute of Geospatial Information, PLA Strategic Support Force Information Engineering University, Zhengzhou 450001, Henan , China
  • 2Naval Research Institute, Beijing 100070, China
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    References(31)

    [4] Yang B, Mao Y, Chen J et al. Review of remote sensing change detection in deep learning: bibliometric and analysis[J]. National Remote Sensing Bulletin, 27, 1988-2005(2023).

    [21] Yu D H, Xu Q, Zhao C et al. Attention-guided feature fusion and joint learning for remote sensing image scene classification[J]. Acta Geodaetica et Cartographica Sinica, 52, 624-637(2023).

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    Yong Liu, Haitao Guo, Jun Lu, Xiangyun Liu, Lei Ding, Kun Zhu, Donghang Yu. Remote Sensing Image Change Detection Method Based on Adaptive Boundary Sensing[J]. Acta Optica Sinica, 2024, 44(18): 1828001

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Nov. 16, 2023

    Accepted: Mar. 8, 2024

    Published Online: Sep. 11, 2024

    The Author Email: Liu Xiangyun (liu_xy1994@163.com)

    DOI:10.3788/AOS231798

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