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

    • 2025年4月1日南京邮电大学计算机学院的吴倩倩、郑志忠团队在《遥感学报》发文,介绍了其在遥感图像场景分类领域的研究进展,提出了基于双阶段高阶Transformer的遥感图像场景分类方法,有效提升了分类性能。
      • role:First author第一作者
      • Affiliation:

        School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing 210023, China

      • Email:qqwunjupt@163.com
      • Introduction:吴倩倩,研究方向为机器学习、遥感图像处理和计算机视觉。E-mail: qqwunjupt@163.com

      WU Qianqian

      1,
      • Affiliation:

        School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing 210023, China

        Ministry of Education Key Laboratory of Radar Imaging and Microwave Photonics Technology, Nanjing University of;Aeronautics and Astronautics, Nanjing 211106, China

        Jiangsu Province Engineering Research Center of Airborne Detecting and Intelligent Perceptive Technology, Nanjing 210049, China

      NI Kang

      123,
      • role:Corresponding author通信作者
      • Affiliation:

        School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing 210023, China

        Jiangsu Province Engineering Research Center of Airborne Detecting and Intelligent Perceptive Technology, Nanjing 210049, China

      • Email:zhengzz_js@126.com
      • Introduction:郑志忠,研究方向为光电信号处理、高光谱计算成像研究以及先进光电仪器研发和工程化应用。E-mail: zhengzz_js@126.com

      ZHENG Zhizhong

      13 *
    • Vol. 29, Issue 3, Pages: 792-807(2025)  
    • 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
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WANG Qi 西北工业大学 光电与智能研究院

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