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Cite Details

Erik Skau, Brendt Wohlberg, Hamid Krim and Liyi Dai, "Pansharpening via coupled triple factorization dictionary learning", in Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), (Shanghai, China), doi:10.1109/ICASSP.2016.7471873, pp. 1234--1237, Mar 2016

Abstract

Data fusion is the operation of integrating data from different modalities to construct a single consistent representation. This paper proposes variations of coupled dictionary learning through an additional factorization. One variation of this model is applicable to the pansharpening data fusion problem. Real world pansharpening data was applied to train and test our proposed formulation. The results demonstrate that the data fusion model can successfully be applied to the pansharpening problem.

BibTeX Entry

@inproceedings{skau-2016-pansharpening,
author = {Erik Skau and Brendt Wohlberg and Hamid Krim and Liyi Dai},
title = {Pansharpening via coupled triple factorization dictionary learning},
year = {2016},
month = Mar,
urlpdf = {http://math.lanl.gov/~brendt/Publications/Docs/skau-2016-pansharpening.pdf},
booktitle = {Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
address = {Shanghai, China},
doi = {10.1109/ICASSP.2016.7471873},
pages = {1234--1237}
}