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Cédric Carteret. A regularized sparse approximation method for hyperspectral image classification. ABSTRACT This paper presents a new technique for hyperspectral images classification based on simultaneous sparse approximation. The proposed approach consists in formulating the problem as a convex multi-objective optimization problem which incorporates a term favoring the simultaneous sparsity of the estimated coefficients and a term enforcing a regularity constraint along the rows of thedoi:10.1109/ssp.2016.7551846 dblp:conf/ssp/BelmerhniaDBC16 fatcat:2sbst4ps2jdfreouybf2ybye4u