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    • Hyperspectral and Multispectral Image Fusion via Sparse Reconstruction and Cross-Guidance

    • Experts proposed the HMIF SRNet algorithm, which adopts an end-to-end architecture and optimizes spectral information expression and modal fusion through SRU and CRU modules. Experiments have shown that it performs well in multiple indicators, providing an efficient solution for the field of hyperspectral and multispectral image fusion.
    • Pages: 1-14(2026)   

      Received:06 December 2025

      Revised:2026-02-12

      Accepted:09 March 2026

      Online First:09 March 2026

    • DOI: 10.11834/jig.250618     

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  • Xue Jize, Yu Fengmei, Liu Ying. Hyperspectral and Multispectral Image Fusion via Sparse Reconstruction and Cross-Guidance[J/OL]. Journal of Image and Graphics, 2026:1-14. DOI: 10.11834/jig.250618. DOI:
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相关作者

Jin Xing 西北工业大学自动化学院
Li Huihui 西北工业大学自动化学院
Shi Pili 西北工业大学自动化学院
Song Chengcheng 武汉理工大学信息工程学院
Hu Jiwei 武汉理工大学信息工程学院
Jin Qiwen 武汉理工大学信息工程学院
Yang Tianyu 中国人民公安大学信息网络安全学院
Huo Hongtao 中国人民公安大学信息网络安全学院

相关机构

College of Automation, Northwestern Polytechnical University
School of Information Engineering, Wuhan University of Technology
Department of Information and Cyber Security, People’s Public Security University of China
School of Computer Science and Technology, Zhejiang Gongshang University
School of Automation and Electrical Engineering,Shenyang Ligong University
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