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Foreword to the Special Issue on Quality Improvements of Remote Sensing Data.

, , , , , и . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 11 (3): 687-690 (2018)

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Humberto Jorge José

Nadine José Gonzalez

Manjula Dias-Hargarter

Marcelo Dias

José Navarrete

 

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Performance measures for classification systems with rejection., , и . Pattern Recognit., (2017)Semiblind Hyperspectral Unmixing in the Presence of Spectral Library Mismatches., , , и . IEEE Trans. Geosci. Remote. Sens., 54 (9): 5171-5184 (2016)Interferometric Phase Image Estimation via Sparse Coding in the Complex Domain., , и . IEEE Trans. Geosci. Remote. Sens., 53 (5): 2587-2602 (2015)Total Variation-Based Image Deconvolution: a Majorization-Minimization Approach., , и . ICASSP (2), стр. 861-864. IEEE, (2006)Hyperspectral unmixing algorithm via dependent component analysis., и . IGARSS, стр. 4033-4036. IEEE, (2007)Parallel implementation of vertex component analysis for hyperspectral endmember extraction., , , , и . IGARSS, стр. 4078-4081. IEEE, (2012)Learning dependent sources using mixtures of Dirichlet: Applications on hyperspectral unmixing., и . WHISPERS, стр. 1-5. IEEE, (2009)Fast Hyperspectral Image Denoising and Inpainting Based on Low-Rank and Sparse Representations., и . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 11 (3): 730-742 (2018)Linear Spectral Unmixing via Matrix Factorization: Identifiability Criteria for Sparse Abundances., и . IGARSS, стр. 6155-6158. IEEE, (2018)A Discontinuity Preserving Relaxation Scheme for Spectral-Spatial Hyperspectral Image Classification., , , , и . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 9 (2): 625-639 (2016)