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    • Remote sensing image scene classification on the basis of a two-stage high-order transformer

    • “In the field of remote sensing image scene classification, the THViT method effectively improves classification performance through a two-stage high-order Transformer, providing a new solution to the problem of representing spatial feature information in remote sensing images.”
    • Vol. 29, Issue 3, Pages: 792-807(2025)   

      Received：06 January 2023，

      Published：07 March 2025

    • DOI： 10.11834/jrs.20233332     

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  • Wu Q Q，Ni K and Zheng Z Z. 2025. Remote sensing image scene classification on the basis of a two-stage high-order transformer. National Remote Sensing Bulletin， 29（3）：792-807 DOI： 10.11834/jrs.20233332.
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NI Kang 南京邮电大学 计算机学院;雷达成像与微波光子技术教育部重点实验室(南京航空航天大学);江苏省航空对地探测与智能感知工程研究中心
LI Zhi 中国科学院空天信息创新研究院 计算光学成像技术重点实验室;中国科学院大学 资源与环境学院
GAO Lianru 中国科学院空天信息创新研究院 计算光学成像技术重点实验室
ZHENG Ke 聊城大学 地理与环境学院
NI Li 中国科学院空天信息创新研究院 计算光学成像技术重点实验室
WANG Wei 长沙理工大学 计算机与通信工程学院
LI Xijie 长沙理工大学 计算机与通信工程学院
WANG Xin 长沙理工大学 计算机与通信工程学院

相关机构

Ministry of Education Key Laboratory of Radar Imaging and Microwave Photonics Technology, Nanjing University of Aeronautics and Astronautics
School of Geography and Environment, Liaocheng University
College of Resources and Environment, University of Chinese Academy of Sciences
Key Laboratory of Computational Optical Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences
School of Computer and Communication Engineering, Changsha University of Science and Technology
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