Low-rank and sparse matrix decomposition-based anomaly detection for hyperspectral imagery-Reference-Cited by-同舟云学术

Low-rank and sparse matrix decomposition-based anomaly detection for hyperspectral imagery

Published:2014-05-01 Issue:1 Volume:8 Page:083641
ISSN:1931-3195
Container-title:Journal of Applied Remote Sensing
language:en
Short-container-title:J. Appl. Remote Sens

Author:

Sun Weiwei¹,Liu Chun²,Li Jialin¹,Lai Yenming Mark³,Li Weiyue⁴

Affiliation:

1. Ningbo University, College of Architectural Engineering, Civil Engineering and Environment, 818 Fenghua Road, Ningbo, Zhejiang 315211, China

2. Tongji University, College of Surveying and Geo-informatics, 1239 Siping Road, Shanghai 200092, ChinacKey Laboratory of Advanced Engineering Survey of NASMG, 1239 Siping Road, Shanghai 200092, China

3. University of Maryland College Park, Applied Mathematics & Statistics, and Scientific Computation, Maryland 20742

4. Tongji University, College of Surveying and Geo-informatics, 1239 Siping Road, Shanghai 200092, China

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Earth and Planetary Sciences

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