TY - GEN
T1 - A pan-sharpening algorithm based on joint sparsity
AU - Zhu, Xiao Xiang
AU - Spiridonova, Sofya
AU - Bamler, Richard
PY - 2012
Y1 - 2012
N2 - Recently sparse signal representation of image patches was explored to solve the pan-sharpening problem. 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.
AB - Recently sparse signal representation of image patches was explored to solve the pan-sharpening problem. 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.
UR - http://www.scopus.com/inward/record.url?scp=84872027218&partnerID=8YFLogxK
U2 - 10.1109/TyWRRS.2012.6381125
DO - 10.1109/TyWRRS.2012.6381125
M3 - Conference contribution
AN - SCOPUS:84872027218
SN - 9781467324434
T3 - Proceedings of the 2012 Tyrrhenian Workshop on Advances in Radar and Remote Sensing: From Earth Observation to Homeland Security, TyWRRS 2012
SP - 177
EP - 184
BT - Proceedings of the 2012 Tyrrhenian Workshop on Advances in Radar and Remote Sensing
T2 - 2012 Tyrrhenian Workshop on Advances in Radar and Remote Sensing: From Earth Observation to Homeland Security, TyWRRS 2012
Y2 - 12 September 2012 through 14 September 2012
ER -