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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
ZHOU Tianyuan 重庆大学 计算机学院
LIU Jiamin 重庆大学 光电工程学院
GUO Tan 重庆邮电大学 通信与信息工程学院

相关机构

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