Comparison of nine hyperspectral pansharpening methods

Laetitia Loncan, Luís B Almeida, Jose Bioucas Dias, Xavier Briottet, Jocelyn Chanussot, Nicolas Dobigeon, Sophie Fabre, Wenzhi Liao, Giorgio Licciardi, Miguel Simoes, Jean-Yves Tourneret, Miguel A Veganzones, Gemine Vivone, Qi Wei, Naoto Yokoya, Vito Pascazio

Research output: Contribution to conferencePaper

Abstract

Pansharpening first aims at fusing a panchromatic image with a multispectral image to generate an image with the high spatial resolution of the former and the spectral resol ution of the latter. In the last decade many algorithms have been presented in the literature for pansharpening usi ng multispectral data. With the increasing availability of hyperspectral systems these methods are now extending to hyperspectral images. In this work, we attempt to compare new pansharpening techniques designed for hypersp ectral data with some of the state of the art methods for multispectral pansharpening, which have been adapted f or hyperspectral data. Nine methods from different classes are analysed: component substitution, multiresol ution analysis, hybrid, Bayesian and matrix decomposition approaches. These techniques are evaluated with the Wald’s Procol on one dataset to characterize their performances and their robustness.

Conference

ConferenceIEEE International Geoscience and Remote Sensing Sympium (IGARSS 2015)
Abbreviated titleIGARSS 2015
CountryItaly
CityMilan
Period26/07/1531/07/15

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Keywords

  • hyperspectral pansharpening methods
  • multispectral image
  • multispectral data

Cite this

Loncan, L., Almeida, L. B., Bioucas Dias, J., Briottet, X., Chanussot, J., Dobigeon, N., ... Pascazio, V. (2015). Comparison of nine hyperspectral pansharpening methods. 1-4. Paper presented at IEEE International Geoscience and Remote Sensing Sympium (IGARSS 2015), Milan, Italy.
Loncan, Laetitia ; Almeida, Luís B ; Bioucas Dias, Jose ; Briottet, Xavier ; Chanussot, Jocelyn ; Dobigeon, Nicolas ; Fabre, Sophie ; Liao, Wenzhi ; Licciardi, Giorgio ; Simoes, Miguel ; Tourneret, Jean-Yves ; Veganzones, Miguel A ; Vivone, Gemine ; Wei, Qi ; Yokoya, Naoto ; Pascazio, Vito. / Comparison of nine hyperspectral pansharpening methods. Paper presented at IEEE International Geoscience and Remote Sensing Sympium (IGARSS 2015), Milan, Italy.4 p.
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title = "Comparison of nine hyperspectral pansharpening methods",
abstract = "Pansharpening first aims at fusing a panchromatic image with a multispectral image to generate an image with the high spatial resolution of the former and the spectral resol ution of the latter. In the last decade many algorithms have been presented in the literature for pansharpening usi ng multispectral data. With the increasing availability of hyperspectral systems these methods are now extending to hyperspectral images. In this work, we attempt to compare new pansharpening techniques designed for hypersp ectral data with some of the state of the art methods for multispectral pansharpening, which have been adapted f or hyperspectral data. Nine methods from different classes are analysed: component substitution, multiresol ution analysis, hybrid, Bayesian and matrix decomposition approaches. These techniques are evaluated with the Wald’s Procol on one dataset to characterize their performances and their robustness.",
keywords = "hyperspectral pansharpening methods, multispectral image, multispectral data",
author = "Laetitia Loncan and Almeida, {Lu{\'i}s B} and {Bioucas Dias}, Jose and Xavier Briottet and Jocelyn Chanussot and Nicolas Dobigeon and Sophie Fabre and Wenzhi Liao and Giorgio Licciardi and Miguel Simoes and Jean-Yves Tourneret and Veganzones, {Miguel A} and Gemine Vivone and Qi Wei and Naoto Yokoya and Vito Pascazio",
year = "2015",
language = "English",
pages = "1--4",
note = "IEEE International Geoscience and Remote Sensing Sympium (IGARSS 2015), IGARSS 2015 ; Conference date: 26-07-2015 Through 31-07-2015",

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Loncan, L, Almeida, LB, Bioucas Dias, J, Briottet, X, Chanussot, J, Dobigeon, N, Fabre, S, Liao, W, Licciardi, G, Simoes, M, Tourneret, J-Y, Veganzones, MA, Vivone, G, Wei, Q, Yokoya, N & Pascazio, V 2015, 'Comparison of nine hyperspectral pansharpening methods' Paper presented at IEEE International Geoscience and Remote Sensing Sympium (IGARSS 2015), Milan, Italy, 26/07/15 - 31/07/15, pp. 1-4.

Comparison of nine hyperspectral pansharpening methods. / Loncan, Laetitia; Almeida, Luís B; Bioucas Dias, Jose; Briottet, Xavier; Chanussot, Jocelyn; Dobigeon, Nicolas; Fabre, Sophie; Liao, Wenzhi; Licciardi, Giorgio; Simoes, Miguel; Tourneret, Jean-Yves; Veganzones, Miguel A; Vivone, Gemine; Wei, Qi; Yokoya, Naoto; Pascazio, Vito.

2015. 1-4 Paper presented at IEEE International Geoscience and Remote Sensing Sympium (IGARSS 2015), Milan, Italy.

Research output: Contribution to conferencePaper

TY - CONF

T1 - Comparison of nine hyperspectral pansharpening methods

AU - Loncan, Laetitia

AU - Almeida, Luís B

AU - Bioucas Dias, Jose

AU - Briottet, Xavier

AU - Chanussot, Jocelyn

AU - Dobigeon, Nicolas

AU - Fabre, Sophie

AU - Liao, Wenzhi

AU - Licciardi, Giorgio

AU - Simoes, Miguel

AU - Tourneret, Jean-Yves

AU - Veganzones, Miguel A

AU - Vivone, Gemine

AU - Wei, Qi

AU - Yokoya, Naoto

AU - Pascazio, Vito

PY - 2015

Y1 - 2015

N2 - Pansharpening first aims at fusing a panchromatic image with a multispectral image to generate an image with the high spatial resolution of the former and the spectral resol ution of the latter. In the last decade many algorithms have been presented in the literature for pansharpening usi ng multispectral data. With the increasing availability of hyperspectral systems these methods are now extending to hyperspectral images. In this work, we attempt to compare new pansharpening techniques designed for hypersp ectral data with some of the state of the art methods for multispectral pansharpening, which have been adapted f or hyperspectral data. Nine methods from different classes are analysed: component substitution, multiresol ution analysis, hybrid, Bayesian and matrix decomposition approaches. These techniques are evaluated with the Wald’s Procol on one dataset to characterize their performances and their robustness.

AB - Pansharpening first aims at fusing a panchromatic image with a multispectral image to generate an image with the high spatial resolution of the former and the spectral resol ution of the latter. In the last decade many algorithms have been presented in the literature for pansharpening usi ng multispectral data. With the increasing availability of hyperspectral systems these methods are now extending to hyperspectral images. In this work, we attempt to compare new pansharpening techniques designed for hypersp ectral data with some of the state of the art methods for multispectral pansharpening, which have been adapted f or hyperspectral data. Nine methods from different classes are analysed: component substitution, multiresol ution analysis, hybrid, Bayesian and matrix decomposition approaches. These techniques are evaluated with the Wald’s Procol on one dataset to characterize their performances and their robustness.

KW - hyperspectral pansharpening methods

KW - multispectral image

KW - multispectral data

UR - http://hdl.handle.net/1854/LU-8110917

M3 - Paper

SP - 1

EP - 4

ER -

Loncan L, Almeida LB, Bioucas Dias J, Briottet X, Chanussot J, Dobigeon N et al. Comparison of nine hyperspectral pansharpening methods. 2015. Paper presented at IEEE International Geoscience and Remote Sensing Sympium (IGARSS 2015), Milan, Italy.