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Abstract
Pansharpening aims at fusing a panchromatic image with a multispectral one, to generate an image with the high spatial resolution of the former and the high spectral resolution of the latter. In the last decade, many algorithms have been presented in the literatures for pansharpening using multispectral data. With the increasing availability of hyperspectral systems, these methods are now being adapted to hyperspectral images. In this work, we compare new pansharpening techniques designed for hyperspectral data with some of the state-of-the-art methods for multispectral pansharpening, which have been adapted for hyperspectral data. Eleven methods from different classes (component substitution, multiresolution analysis, hybrid, Bayesian and matrix factorization) are analyzed. These methods are applied to three datasets and their effectiveness and robustness are evaluated with widely used performance indicators. In addition, all the pansharpening techniques considered in this paper have been implemented in a MATLAB toolbox that is made available to the community.
Keywords
NONNEGATIVE MATRIX FACTORIZATION, DATA-FUSION, MULTISPECTRAL IMAGES, COMPONENT ANALYSIS, MULTIBAND IMAGES, BAYESIAN FUSION, MAP ESTIMATION, RESOLUTION, SPARSE, ALGORITHMS

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Citation

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MLA
Loncan, Laetitia, et al. “Hyperspectral Pansharpening : A Review.” IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE, edited by Lorenzo Bruzzone, vol. 3, no. 3, IEEE, 2015, pp. 27–46.
APA
Loncan, L., Almeida, L. B., Bioucas- dias, J., Briottet, X., Chanussot, J., Dobigeon, N., … Yokoya, N. (2015). Hyperspectral pansharpening : a review. IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE, 3(3), 27–46.
Chicago author-date
Loncan, Laetitia, Luís B Almeida, Jose Bioucas- dias, Xavier Briottet, Jocelyn Chanussot, Nicolas Dobigeon, Sophie Fabre, et al. 2015. “Hyperspectral Pansharpening : A Review.” Edited by Lorenzo Bruzzone. IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE 3 (3): 27–46.
Chicago author-date (all authors)
Loncan, Laetitia, Luís B Almeida, Jose Bioucas- dias, Xavier Briottet, Jocelyn Chanussot, Nicolas Dobigeon, Sophie Fabre, Wenzhi Liao, Giorgio Licciardi, Miguel Simoes, Jean- Yves Tournere, Miguel Veganzones, Gemine Vivone, Qi Wei, and Naoto Yokoya. 2015. “Hyperspectral Pansharpening : A Review.” Ed by. Lorenzo Bruzzone. IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE 3 (3): 27–46.
Vancouver
1.
Loncan L, Almeida LB, Bioucas- dias J, Briottet X, Chanussot J, Dobigeon N, et al. Hyperspectral pansharpening : a review. Bruzzone L, editor. IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE. 2015;3(3):27–46.
IEEE
[1]
L. Loncan et al., “Hyperspectral pansharpening : a review,” IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE, vol. 3, no. 3, pp. 27–46, 2015.
@article{7011509,
  abstract     = {Pansharpening aims at fusing a panchromatic image with a multispectral one, to generate an image with the high spatial resolution of the former and the high spectral resolution of the latter. In the last decade, many algorithms have been presented in the literatures for pansharpening using multispectral data. With the increasing availability of hyperspectral systems, these methods are now being adapted to hyperspectral images. In this work, we compare new pansharpening techniques designed for hyperspectral data with some of the state-of-the-art methods for multispectral pansharpening, which have been adapted for hyperspectral data. Eleven methods from different classes (component substitution, multiresolution analysis, hybrid, Bayesian and matrix factorization) are analyzed. These methods are applied to three datasets and their effectiveness and robustness are evaluated with widely used performance indicators. In addition, all the pansharpening techniques considered in this paper have been implemented in a MATLAB toolbox that is made available to the community.},
  author       = {Loncan, Laetitia and Almeida, Luís B and Bioucas- dias, Jose and Briottet, Xavier and Chanussot, Jocelyn and Dobigeon, Nicolas and Fabre, Sophie and Liao, Wenzhi and Licciardi, Giorgio and Simoes, Miguel and Tournere, Jean- Yves and Veganzones, Miguel and Vivone, Gemine and Wei, Qi and Yokoya, Naoto},
  editor       = {Bruzzone, Lorenzo},
  issn         = {2168-6831},
  journal      = {IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE},
  keywords     = {NONNEGATIVE MATRIX FACTORIZATION,DATA-FUSION,MULTISPECTRAL IMAGES,COMPONENT ANALYSIS,MULTIBAND IMAGES,BAYESIAN FUSION,MAP ESTIMATION,RESOLUTION,SPARSE,ALGORITHMS},
  language     = {eng},
  number       = {3},
  pages        = {27--46},
  publisher    = {IEEE},
  title        = {Hyperspectral pansharpening : a review},
  url          = {http://dx.doi.org/10.1109/MGRS.2015.2440094},
  volume       = {3},
  year         = {2015},
}

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