A Low-Rank and Sparse Matrix Decomposition- Based Dictionary Reconstruction and Anomaly Extraction Framework for Hyperspectral Anomaly Detection
IEEE Geoscience and Remote Sensing Letters, pp. 1248-1252, 2020.
As one of the important applications of hyperspectral imagery (HSI) processing, the Mahalanobis distance-based detector in anomaly detection used to extract knowledge from the background and then calculate the Mahalanobis distance to obtain the detection result. Different from the previous work, a novel low-rank and sparse matrix decompos...More
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