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On the Use of a New Additive Kernel for Change Detection using SVM., , , and . IGARSS (3), page 162-165. IEEE, (2008)Polarimetric sar target decomposition based on nonlinear decorrelation., , , , and . TyWRRS, page 283-287. IEEE, (2012)Unsupervised nonlinear spectral unmixing by means of NLPCA applied to hyperspectral imagery., , , and . IGARSS, page 1369-1372. IEEE, (2012)Noise Reduction in Hyperspectral Imagery: Overview and Application., , , , and . Remote Sensing, 10 (3): 482 (2018)A survey on hyperspectral image restoration: from the view of low-rank tensor approximation., , , , , and . Sci. China Inf. Sci., (April 2023)Conditional Random Field and Deep Feature Learning for Hyperspectral Image Classification., , , , , and . IEEE Trans. Geosci. Remote. Sens., 57 (3): 1612-1628 (2019)Graph-Induced Aligned Learning on Subspaces for Hyperspectral and Multispectral Data., , , and . IEEE Trans. Geosci. Remote. Sens., 59 (5): 4407-4418 (2021)Poissonian Blurred Hyperspectral Imagery Denoising Based on Variable Splitting and Penalty Technique., , , , , , and . IEEE Trans. Geosci. Remote. Sens., (2023)ArbRPN: A Bidirectional Recurrent Pansharpening Network for Multispectral Images With Arbitrary Numbers of Bands., , , , , and . IEEE Trans. Geosci. Remote. Sens., (2022)LRR-Net: An Interpretable Deep Unfolding Network for Hyperspectral Anomaly Detection., , , , and . IEEE Trans. Geosci. Remote. Sens., (2023)