Anomaly Detection for Hyperspectral Imagery Based on the Regularized Subspace Method and Collaborative Representation

Anomaly Detection for Hyperspectral Imagery Based on the Regularized Subspace Method and Collaborative Representation

Most of the conventional anomaly detectors only take advantage of the spectral information and do not consider the spatial information within neighboring pixels. Recently, the spectral-spatial based local summation anomaly detection (LSAD) algorithm has achieved excellent detection performances. In...

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Bibliographic Details
Main Authors:	Kun Tan, Zengfu Hou, Fuyu Wu, Qian Du, Yu Chen
Format:	Article
Language:	English
Published:	MDPI AG 2019-06-01
Series:	Remote Sensing
Subjects:	anomaly detection hyperspectral imagery collaborative representation unsupervised nearest regularized subspace local summation
Online Access:	https://www.mdpi.com/2072-4292/11/11/1318

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