Acta Photonica Sinica, Volume. 51, Issue 6, 0610005(2022)

Combining Convolutional Attention Module and Convolutional Auto-encoder for Detail Injection Remote Sensing Image Fusion

Ming LI, Fan LIU*, and Jingzhi LI
Author Affiliations
  • College of Data Science,Taiyuan University of Technology,Jinzhong,Shanxi 030600,China
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    References(26)

    [7] Xiaopeng PEI. Remote sensing image fusion based on sparse representation(2018).

    [17] Fan LIU. Remote sensing image fusion based on wavelet kernel filter and sparse representation(2014).

    [20] G VIVONE,, M DALLA, A GARZELLI et al. A benchmarking protocol for pansharpening: dataset, preprocessing, and quality assessment. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 6102-6118(2021).

    [21] Jing ZHANG. Remote sensing image fusion based on sparse representation for detail enhancement(2020).

    [22] Jing ZHANG, Hongtao CHEN, Fan LIU. Remote sensing image fusion based on multivariate empirical mode decomposition and weighted least squares filter. Acta Photonica Sinica, 48, 0510003(2019).

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    Ming LI, Fan LIU, Jingzhi LI. Combining Convolutional Attention Module and Convolutional Auto-encoder for Detail Injection Remote Sensing Image Fusion[J]. Acta Photonica Sinica, 2022, 51(6): 0610005

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    Paper Information

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    Received: Dec. 14, 2021

    Accepted: Feb. 7, 2022

    Published Online: Sep. 23, 2022

    The Author Email: LIU Fan (liufan@tyut.edu.cn)

    DOI:10.3788/gzxb20225106.0610005

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