Hyperspectral anomaly detection using column-wise robust principal component analysis

Weiwei SUN; Fei LI; Gang YANG; Dianfa ZHANG

doi:10.11834/jrs.20187284

Technology and Methodology | Views:776Downloads:1051CSCD:0

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Hyperspectral anomaly detection using column-wise robust principal component analysis
- role：First author第一作者
- Affiliation：
  Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo 315211, China
  State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan 430079, China
- Email：sunweiwei@nbu.edu.cn
- Introduction：孙伟伟(1985—　)，男，副教授，研究方向为地理信息系统、遥感理论和方法及“3S”技术在海岸带资源管理与环境变化监测中的应用。E-mail：sunweiwei@nbu.edu.cn
Weiwei SUN
12 * ,
- Affiliation：
  Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo 315211, China
Fei LI
1 * ,
- Affiliation：
  Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo 315211, China
Gang YANG
1 * ,
- Affiliation：
  Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo 315211, China
Dianfa ZHANG
1 *
Vol. 22, Issue 3, Pages: 458-465(2018)
Accepted：08 December 2017 ，
DOI：10.11834/jrs.20187284
Accepted：

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