Reviews | Views : 0 下载量: 2752 CSCD: 1
  • Export

  • Share

  • Collection

  • Album

    • Research progress on hyperspectral anomaly detection

    • In the field of aerospace and remote sensing technology, research on abnormal target detection in hyperspectral remote sensing images has made progress. Experts have analyzed various algorithms, providing new directions for resource investigation, disaster relief, and other areas.
    • Vol. 28, Issue 1, Pages: 42-54(2024)   

      Received:05 August 2022

      Published:07 January 2024

    • DOI: 10.11834/jrs.20232405     

    移动端阅览

  • Qu B,Zheng X T,Qian X M and Lu X Q. 2024. Research progress on hyperspectral anomaly detection. National Remote Sensing Bulletin, 28(1):42-54 DOI: 10.11834/jrs.20232405.
  •  
  •  
Alert me when the article has been cited
提交

相关作者

QIAN Xueming 西安交通大学 信息与通信工程学院
LU Xiaoqiang 中国科学院西安光学精密机械研究所 光谱成像技术实验室
SHAO Pan 三峡大学 湖北省水电工程智能视觉监测重点实验室;三峡大学 计算机与信息学院
GAO Zi’ang 三峡大学 湖北省水电工程智能视觉监测重点实验室;三峡大学 计算机与信息学院
LEI Xiangda 南京信息工程大学 遥感与测绘工程学院
GUAN Haiyan 南京信息工程大学 遥感与测绘工程学院
DONG Zhen 武汉大学 测绘遥感信息工程国家重点实验室
FANG Tingting 中国科学技术大学 网络空间安全学院;中国科学院电磁空间信息重点实验室

相关机构

Hubei Key Laboratory of Intelligent Vision Monitoring for Hydroelectric Engineering, China Three Gorges University
College of Computer and Information Technology, China Three Gores University
School of Remote Sensing and Geomatics Engineering, Nanjing University of Information Science and Technology
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing, Wuhan University
School of Cyber Science and Technology, University of Science and Technology of China
0