Anomaly Detection for Hyperspectral Images Based on Improved Low-Rank and Sparse Representation and Joint Gaussian Mixture Distribution

The background dictionary used in the hyperspectral images anomaly detection based on low-rank and sparse representation (LRASR) contains both target information and background information which will result in low detection accuracy. In response to this problem, this article proposes an improved hyp...

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Principais autores:	Qiong Ran, Zedong Liu, Xiaotong Sun, Xu Sun, Bing Zhang, Qiandong Guo, Jinnian Wang
Format:	Artigo
Jezik:	Inglês
Izdano:	IEEE 2021-01-01
Serija:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Teme:	Anomaly detection dictionary construction hyperspectral image (HSI) low-rank and sparse representation (LRASR) mixture of Gaussian (MOG)
Online dostop:	https://ieeexplore.ieee.org/document/9448438/
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