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    • AFMamba: Adaptive fusion network for hyperspectral and LiDAR data collaborative classification based on Mamba

    • This paper introduces the research progress in the field of multimodal remote sensing data fusion classification. Relevant experts have constructed an adaptive fusion collaborative classification network based on Mamba structure for hyperspectral and LiDAR data, providing a new solution for improving the accuracy of land cover recognition classification.
    • Vol. 30, Issue 2, Pages: 296-310(2026)   

      Received:07 December 2024

      Published:07 February 2026

    • DOI: 10.11834/jrs.20254539     

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  • Weng Q,Chen G W,Pan Z Y,Lin J W and Zheng X T. 2026. AFMamba: Adaptive fusion network for hyperspectral and LiDAR data collaborative classification based on Mamba. National Remote Sensing Bulletin, 30(2):296-310 DOI: 10.11834/jrs.20254539.
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相关作者

Weng Qian 福州大学 计算机与大数据学院;大数据智能教育部工程研究中心;福建省网络计算与智能信息处理重点实验室
Chen Gengwei 福州大学 计算机与大数据学院;福建省网络计算与智能信息处理重点实验室
Pan Zengying 福州大学 计算机与大数据学院;福建省网络计算与智能信息处理重点实验室
Lin Jiawen 福州大学 计算机与大数据学院;大数据智能教育部工程研究中心;福建省网络计算与智能信息处理重点实验室
Zheng Xiangtao 福州大学 物理与信息工程学院
YANG Ziming 山东科技大学 测绘与空间信息学院
CHEN Chuanfa 山东科技大学 测绘与空间信息学院
HAO Jinda 山东科技大学 测绘与空间信息学院

相关机构

Fujian Key Laboratory of Network Computing and Intelligent Information Processing (Fuzhou University)
College of Geodesy and Geomatics, Shandong University of Science and Technology
College of Computer Science, Chongqing University
College of Optoelectronic Engineering, Chongqing University
School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications
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