In this paper, we extend the Sparse Fusion of Images (SparseFI, pronounced “sparsify”) algorithm, proposed by the authors before, to a Jointly Sparse Fusion of Images (J-SparseFI) algorithm by exploiting the possible signal structural correlations between different multispectral channels. The algorithm is evaluated using airborne UltraCam data. The superior performance of the proposed methods has been demonstrated by a statistic assessment. Moreover, first experimental result using airborne HySpex hyperspectral data is presented.     «

In this paper, we extend the Sparse Fusion of Images (SparseFI, pronounced “sparsify”) algorithm, proposed by the authors before, to a Jointly Sparse Fusion of Images (J-SparseFI) algorithm by exploiting the possible signal structural correlations between different multispectral channels. The algorithm is evaluated using airborne UltraCam data. The superior performance of the proposed methods has been demonstrated by a statistic assessment. Moreover, first experimental result using airborne HySp...     »