Laser & Optoelectronics Progress, Volume. 58, Issue 14, 1410024(2021)

Infrared and Visible Image Fusion Method Based on Dual-Channel Generative Adversarial Network

Chunping Hou1, Xiaocong Wang1, Han Xia2, and Yang Yang1、*
Author Affiliations
  • 1School of Electrical and Information Engineering,Tianjin University, Tianjin 300072, China
  • 2Tianjin International Engineering Institute, Tianjin University, Tianjin 300072, China
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    References(23)

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    [11] Li H, Wu X J, Kittler J. Infrared and visible image fusion using a deep learning framework[C]. //2018 24th International Conference on Pattern Recognition (ICPR), August 20-24, 2018, Beijing, China., 2705-2710(2018).

    [16] Zhao L. Research on multimodal data fusion methods[D], 23-24(2018).

    [17] He Q, Li Y, Song W et al. Multimodal remote sensing image classification with small sample size based on high-level feature fusion[J]. Laser & Optoelectronics Progress, 56, 111001(2019).

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    Chunping Hou, Xiaocong Wang, Han Xia, Yang Yang. Infrared and Visible Image Fusion Method Based on Dual-Channel Generative Adversarial Network[J]. Laser & Optoelectronics Progress, 2021, 58(14): 1410024

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    Paper Information

    Category: Image Processing

    Received: Aug. 17, 2020

    Accepted: Sep. 30, 2020

    Published Online: Jul. 6, 2021

    The Author Email: Yang Yang (yang_yang@tju.edu.cn)

    DOI:10.3788/LOP202158.1410024

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