Comparison of spectral and spatial windows for local anomaly detection in hyperspectral imagery-Reference-Cited by-同舟云学术

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Comparison of spectral and spatial windows for local anomaly detection in hyperspectral imagery

Published:2015-03-16 Issue:6 Volume:36 Page:1570-1583
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Li Zhiyong¹²,Li Jonathan²³,Zhou Shilin¹,Pirasteh Saied²

Affiliation:

1. School of Electronic Science and Engineering, National University of Defence Technology, Changsha, Hunan 410073, China

2. Department of Geography & Environmental Management, Faculty of Environment, University of Waterloo, Waterloo, Ontario, Canada N2L 3G1

3. School of Information Science and Engineering, Xiamen University, Xiamen, Fujian 361005, China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2015.1017666

Reference20 articles.

1. The Moore–Penrose Pseudoinverse: A Tutorial Review of the Theory

2. Improved covariance matrices for point target detection in hyperspectral data

3. Orthogonal subspace projection (OSP) revisited: a comprehensive study and analysis

4. Anomaly detection and classification for hyperspectral imagery

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