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    • Remote sensing mapping of Xinjiang cotton based on the theory of stable classification with limited sample

    • “Breakthroughs have been made in remote sensing mapping of cotton in Xinjiang. Based on the theory of limited sample stable classification, researchers have constructed sample sets and designed samples by adding geographic spatial constraints. The study explores the stability mechanism of cotton classification under limited sample conditions from two dimensions: minimum sample size and tolerance for erroneous samples. This provides a new theoretical basis and technical path for constructing a high-precision and timely cotton remote sensing mapping system in Xinjiang, where planting structures are complex and sample acquisition costs are high.”
      • role:First author第一作者
      • Affiliation:

        Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

        University of Chinese Academy of Sciences, Beijing 100049, China

      • Email:lanletao23@mails.ucas.ac.cn
      • Introduction:蓝乐淘,研究方向为高光谱遥感。E-mail:lanletao23@mails.ucas.ac.cn

      LAN Letao

      12,
      • role:Corresponding author通信作者
      • Affiliation:

        Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

      • Email:huangcp@aircas.ac.cn
      • Introduction:黄长平,研究方向为高光谱遥感。E-mail:huangcp@aircas.ac.cn

      HUANG Changping

      1 * ,
      • Affiliation:

        Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

        University of Chinese Academy of Sciences, Beijing 100049, China

      ZHOU Junru

      12,
      • Affiliation:

        Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

        University of Chinese Academy of Sciences, Beijing 100049, China

      ZENG Rubing

      12,
      • Affiliation:

        College of Agriculture/Xinjiang Production and Construction Corps Oasis Eco-Agriculture Key Laboratory, Shihezi University, Shihezi 832003, China

      ZHANG Ze

      3,
      • Affiliation:

        Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

      ZHANG Lifu

      1
    • Vol. 30, Issue 9, Pages: 2689-2700(2026)  
    • DOI:10.11834/jrs.20266068    

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