Laser & Optoelectronics Progress, Volume. 61, Issue 14, 1428008(2024)

Structure-Aware Multiscale Hybrid Network for Change Detection of Remote Sensing Images

Qi Liu1,2, Lin Cao2,3, Shu Tian3、*, Kangning Du3, Peiran Song3, and Yanan Guo3
Author Affiliations
  • 1School of Instrument Science and Opto-Electronics Engineering, Beijing Information Science & Technology University, Beijing 100101, China
  • 2Key Laboratory of Optoelectronic Measurement Technology and Instrument, Ministry of Education, Beijing Information Science & Technology University, Beijing 100101, China
  • 3Key Laboratory of Information and Communication Systems, Ministry of Information Industry, Beijing Information Science & Technology University, Beijing 100101, China
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    [24] Vaswani A, Shazeer N, Parmar N et al. Attention is all you need[C], 6000-6010(2017).

    [25] Li Z T, Zhao J K, Xu J R et al. Remote sensing image fusion method based on improved Swin Transformer[J]. Acta Photonica Sinica, 52, 1110001(2023).

    [27] Du N N, Shan K D, Wei S S. LPformer: laplacian pyramid multi-level Transformer for infrared small target detection[J]. Infrared Technology, 45, 630-638(2023).

    [31] Mnih V, Heess N, Graves A et al. Recurrent models of visual attention[C], 2204-2212(2014).

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    Qi Liu, Lin Cao, Shu Tian, Kangning Du, Peiran Song, Yanan Guo. Structure-Aware Multiscale Hybrid Network for Change Detection of Remote Sensing Images[J]. Laser & Optoelectronics Progress, 2024, 61(14): 1428008

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Jan. 12, 2024

    Accepted: Mar. 7, 2024

    Published Online: Jul. 8, 2024

    The Author Email: Shu Tian (shutian@bistu.edu.cn)

    DOI:10.3788/LOP240514

    CSTR:32186.14.LOP240514

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