A Constrained Sparse-Representation-Based Spatio-Temporal Anomaly Detector for Moving Targets in Hyperspectral Imagery Sequences

A Constrained Sparse-Representation-Based Spatio-Temporal Anomaly Detector for Moving Targets in Hyperspectral Imagery Sequences

At present, small dim moving target detection in hyperspectral imagery sequences is mainly based on anomaly detection (AD). However, most conventional detection algorithms only utilize the spatial spectral information and rarely employ the temporal spectral information. Besides, multiple targets in...

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Bibliographic Details
Main Authors:	Zhaoxu Li, Qiang Ling, Jing Wu, Zhengyan Wang, Zaiping Lin
Format:	Article
Language:	English
Published:	MDPI AG 2020-08-01
Series:	Remote Sensing
Subjects:	anomaly detection constrained sparse representation hyperspectral imagery moving target detection spatio-temporal processing
Online Access:	https://www.mdpi.com/2072-4292/12/17/2783

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