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    • Hybrid attention and bidirectional-gated network for hyperspectral image change detection

    • Report: The latest research proposes a hyperspectral image change detection method based on mixed attention and bidirectional gating network, which effectively improves detection accuracy and is significantly better than mainstream methods such as BiT and CBANet.
    • Vol. 30, Issue 4, Pages: 1017-1026(2025)   

      Received:27 June 2024

      Revised:08 September 2024

      Published:16 April 2025

    • DOI: 10.11834/jig.240360     

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  • Li Xiangtan, Gao Feng, Sun Yue, Dong Junyu. 2025. Hybrid attention and bidirectional-gated network for hyperspectral image change detection. Journal of Image and Graphics, 30(04):1017-1026 DOI: 10.11834/jig.240360.
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相关作者

Jin Tao 甘肃政法大学人工智能学院
Hu Peiyu 甘肃政法大学人工智能学院
Yang Yong 天津工业大学计算机科学与技术学院
Wang Xiaozheng 天津工业大学控制科学与工程学院
Liu Xuan 天津工业大学控制科学与工程学院
Huang Shuying 天津工业大学软件学院
Liu Ziyang 天津工业大学控制科学与工程学院
Wang Shuzhao 天津工业大学电子与信息工程学院

相关机构

College of Artificial Intelligence, Gansu University of Political Science and Law
School of Computer Science and Technology, Tiangong University
School of Control Science and Engineering, Tiangong University
School of Software, Tiangong University
School of Electronics and Information Engineering, Tiangong University
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