Artificial Intelligence (AI) for Remote Sensing | Views:1602Downloads:1716CSCD:4

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    • Hyperspectral anomaly detection via combining adaptive window saliency detection and improved superpixel segmentation

      • role：First author第一作者
      • Affiliation：

        College of Electric and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China

      • Email：qxl_sunshine@163.com
      • Introduction：钱晓亮，研究方向为模式识别与人工智能/遥感图像场景分类与目标检测。E-mail：qxl_sunshine@163.com

      QIAN Xiaoliang

      1,
      • Affiliation：

        College of Electric and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China

      ZENG Yinfeng

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

        School of Aerospace Science and Technology, Xidian University, Xi'an 710126, China

      • Email：ls1425854658@163.com
      • Introduction：林生，研究方向为高光谱图像异常检测/遥感图像目标检测。E-mail：ls1425854658@163.com

      LIN Sheng

      2 * ,
      • Affiliation：

        College of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China

      ZHANG Bo

      3,
      • Affiliation：

        College of Electric and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China

      REN Hangli

      1,
      • Affiliation：

        College of Electric and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China

      WANG Wei

      1
    • Vol. 27, Issue 12, Pages: 2748-2761(2023)  

    • DOI：10.11834/jrs.20222004    

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Related Institution

College of Electric and Information Engineering, Zhengzhou University of Light Industry
School of Aerospace Science and Technology, Xidian University
College of Information Science and Engineering, Henan University of Technology
深圳大学 计算机与软件学院
自然资源部大湾区地理环境监测重点实验室