Laser & Optoelectronics Progress, Volume. 62, Issue 10, 1028006(2025)

Road-Change Detection in High-Resolution Imagery Incorporating Swin Transformer Structure

Xueting Jia1,2, Weidong Song1,2, and Shangyu Sun1,2、*
Author Affiliations
  • 1School of Geomatics, Mapping and Geoscience, Liaoning University of Engineering and Technology, Fuxin 123000, Liaoning , China
  • 2Collaborative Innovation Research Institute of Geospatial Information Service, Liaoning University of Engineering and Technology, Fuxin 123000, Liaoning , China
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    References(25)

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    [11] Liu Y, He X, Li D Y et al. CBAM UNet+++: attention mechanism to guide change detection studies of full-scale connected networks[J]. National Remote Sensing Bulletin, 28, 1052-1065(2024).

    [15] Li M C, Lü P Y. The High-resolution remote sensing image change detection based on differential feature fusion siamese pyramid Transformer model[J]. Journal of Geomatics, 49, 66-72(2024).

    [16] Liu Y, Guo H T, Lu J et al. Remote sensing image change detection method based on adaptive boundary sensing[J]. Acta Optica Sinica, 44, 1828001(2024).

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    [21] Yuan W, Xi Y R, Tan C D et al. Limited-angle CT image reconstruction based on swin-transformer iterative unfolding for PTCT imaging[J]. Acta Optica Sinica, 44, 0834001(2024).

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    Xueting Jia, Weidong Song, Shangyu Sun. Road-Change Detection in High-Resolution Imagery Incorporating Swin Transformer Structure[J]. Laser & Optoelectronics Progress, 2025, 62(10): 1028006

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Oct. 15, 2024

    Accepted: Dec. 2, 2024

    Published Online: Apr. 27, 2025

    The Author Email: Shangyu Sun (shangyu_sun@126.com)

    DOI:10.3788/LOP242122

    CSTR:32186.14.LOP242122

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