Collabrative {Sparse} {Image} {Fusion} with {Application} to {Pan}-{Sharpening}

Recently sparse signal representation of image patches was explored to solve the pan-sharpening problem for remote sensing images. Although the proposed sparse reconstruction based methods lead to motivating results, yet none of them has considered the fact that the information contained in different multispectral channels may be mutually correlated. 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 these possible signal structural correlations between different multispectral channels. This is done by making use of the distributed compressive sensing (DCS) theory that restricts the solution of an underdetermined system by considering an ensemble of signals being jointly sparse. The algorithm is validated with UltraCam data. In the final presentation, results with Hyspex data will be presented.     «

Recently sparse signal representation of image patches was explored to solve the pan-sharpening problem for remote sensing images. Although the proposed sparse reconstruction based methods lead to motivating results, yet none of them has considered the fact that the information contained in different multispectral channels may be mutually correlated. In this paper, we extend the Sparse Fusion of Images (SparseFI, pronounced “sparsify”) algorithm, proposed by the authors before, to a Jointly Spar...     »

Image reconstruction, Minimization, Remote sensing, compressed sensing, geophysical image processing, correlation methods, image fusion, DCS, Hyspex data, J-SparseFI algorithm, SparseFI algorithm, UltraCam data, collaborative sparse image fusion, distributed compressive sensing theory, image patches, multispectral channels, pan-sharpening problem, remote sensing images, signal structural correlations, sparse reconstruction based methods, sparse signal representation, Joints, Principal component analysis, Sensors, J-SparseFI, Joint Sparsity, Pan-Sharpening, SparseFI, image representation     «

Image reconstruction, Minimization, Remote sensing, compressed sensing, geophysical image processing, correlation methods, image fusion, DCS, Hyspex data, J-SparseFI algorithm, SparseFI algorithm, UltraCam data, collaborative sparse image fusion, distributed compressive sensing theory, image patches, multispectral channels, pan-sharpening problem, remote sensing images, signal structural correlations, sparse reconstruction based methods, sparse signal representation, Joints, Principal component...     »