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A novel hyperspectral image anomaly detection method based on low rank representation.

, , , , and . IGARSS, page 4444-4447. IEEE, (2015)

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Accelerating techniques for sparse regularization based tomography reconstruction., , and . ICDIP, volume 8878 of SPIE Proceedings, page 887849. SPIE, (2013)An improved region-based model with local statistical feature., , , and . ICIP, page 3341-3344. IEEE, (2011)An improved region-based model with local statistical features for image segmentation., , , and . Pattern Recognit., 45 (4): 1578-1590 (2012)An iteratively approximated gradient projection algorithm for sparse signal reconstruction., , and . Appl. Math. Comput., (2014)Local Geometry Driven Image Magnification and Applications to Super-Resolution., and . ICNC (2), volume 4222 of Lecture Notes in Computer Science, page 742-751. Springer, (2006)ELM-based classification of ADHD patients using a novel local feature extraction method., , , , , and . BIBM, page 489-492. IEEE Computer Society, (2016)Learning Texture Enhancement Prior with Deep Unfolding Network for Snapshot Compressive Imaging., , and . ACCV (3), volume 13843 of Lecture Notes in Computer Science, page 357-373. Springer, (2022)A novel sparsity constrained nonnegative matrix factorization for hyperspectral unmixing., , , , and . IGARSS, page 1389-1392. IEEE, (2012)Hyperspectral Anomaly Detection Based on Low Rank and Sparse Tensor Decomposition., , , , , and . IGARSS, page 2240-2243. IEEE, (2019)Hyperspectral Unmixing Via Wavelet Based Autoencoder Network., , , , and . WHISPERS, page 1-5. IEEE, (2019)