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://brendt.wohlberg.net/publications/pdf/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}
}
