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    • The influence of micrometer-level broadband selection methods for thermal infrared emissivity on hyperspectral reconstruction

    • “The research team has introduced quantum genetic algorithm to establish QGA-HSR model, breaking through the traditional idea of equal interval and satellite spectral band replication with equal width band division, providing technical support for the development of thermal infrared remote sensing sensors.”
      • role：First author第一作者
      • Affiliation：

        School of Information and Software Engineering, East China Jiaotong University, Nanchang 330013, China

      • Email：dzg@ecjtu.edu.cn
      • Introduction：邓志刚，研究方向为智能计算。E-mail： dzg@ecjtu.edu.cn

      DENG Zhigang

      1,
      • role：Corresponding author通信作者
      • Affiliation：

        Key Laboratory of Wetland and Watershed Research/School of Geography and Environment, Ministry of Education, Jiangxi Normal University, Nanchang 330022, China

      • Email：zhm8012@jxnu.edu.cn
      • Introduction：赵红梅，研究方向为环境遥感。E-mail：zhm8012@jxnu.edu.cn

      ZHAO Hongmei

      2 * ,
      • Affiliation：

        School of Information and Software Engineering, East China Jiaotong University, Nanchang 330013, China

      ZENG Qingxuan

      1,
      • Affiliation：

        Key Laboratory of Wetland and Watershed Research/School of Geography and Environment, Ministry of Education, Jiangxi Normal University, Nanchang 330022, China

      WANG Chenwei

      2,
      • Affiliation：

        School of Physics and Communication Electronics, Jiangxi Normal University, Nanchang 330022, China

      PAN Pingping

      3
    • Vol. 30, Issue 8, Pages: 2407-2420(2026)  

    • DOI：10.11834/jrs.20265424    

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PAN Pingping 江西师范大学物理与通信电子学院

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