A Low-Rank and Sparse Matrix Decomposition-Based Mahalanobis Distance Method for Hyperspectral Anomaly Detection - researchr publication

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Yuxiang Zhang, Bo Du, Liangpei Zhang, Shugen Wang. A Low-Rank and Sparse Matrix Decomposition-Based Mahalanobis Distance Method for Hyperspectral Anomaly Detection. IEEE T. Geoscience and Remote Sensing, 54(3):1376-1389, 2016. [doi]

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