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A comparative assessment of different methods for Landsat 7/ETM+ pansharpening

A comparative assessment of different methods for Landsat 7/ETM+ pansharpening
A comparative assessment of different methods for Landsat 7/ETM+ pansharpening
This article compares a set of relevant methods, based on different mathematical approaches, for Landsat 7 Enhanced Thematic Mapper Plus (ETM+) pansharpening. These are classical procedures such as principal component analysis and fast intensity hue saturation; methods based on wavelet transforms, such as wavelet à trous, additive wavelet luminance proportional and multidirectional–multiresolution methods; a method of a geostatistical nature, called downscaling cokriging (DCK); and finally, a Bayesian method (1cor). The comparison of the fused images is based on the qualitative and quantitative evaluation of their spatial and spectral characteristics by calculating statistical indices and parameters that measure the quality and coherence of the images. Moreover, the quality of the spectral information is studied indirectly by means of the Iterative Self-Organizing Data Analysis Technique (ISODATA) classification of the products of fusion. The results show that DCK and 1cor methods yielded better results than the wavelet-based methods. Particularly, DCK does not introduce artefacts in the estimation of the digital numbers corresponding with the source multispectral image and, therefore, it can be considered as the most coherent method.
0143-1161
6574-6599
Rodriguez Galiano, Victor F.
88495556-2795-456d-b972-31ca79fe4a71
Pardo-Igúzquiza, Eulogio
bbac6d80-cc4a-4aa7-84c5-4f11bc1844e9
Chica-Olmo, Mario
ff64f393-e295-440b-8d31-ca6964ee7c33
Mateos, Javier
f677a015-4f2e-431c-89ff-d8beae5c70fd
Rigol-Sánchez, Juan P.
ee838f9f-a7ef-499d-8c75-c822d69ab437
Vega, Miguel
da3a0dcc-01ba-4a6e-b0f5-8455e29917af
Rodriguez Galiano, Victor F.
88495556-2795-456d-b972-31ca79fe4a71
Pardo-Igúzquiza, Eulogio
bbac6d80-cc4a-4aa7-84c5-4f11bc1844e9
Chica-Olmo, Mario
ff64f393-e295-440b-8d31-ca6964ee7c33
Mateos, Javier
f677a015-4f2e-431c-89ff-d8beae5c70fd
Rigol-Sánchez, Juan P.
ee838f9f-a7ef-499d-8c75-c822d69ab437
Vega, Miguel
da3a0dcc-01ba-4a6e-b0f5-8455e29917af

Rodriguez Galiano, Victor F., Pardo-Igúzquiza, Eulogio, Chica-Olmo, Mario, Mateos, Javier, Rigol-Sánchez, Juan P. and Vega, Miguel (2012) A comparative assessment of different methods for Landsat 7/ETM+ pansharpening. International Journal of Remote Sensing, 33 (20), 6574-6599. (doi:10.1080/01431161.2012.691612).

Record type: Article

Abstract

This article compares a set of relevant methods, based on different mathematical approaches, for Landsat 7 Enhanced Thematic Mapper Plus (ETM+) pansharpening. These are classical procedures such as principal component analysis and fast intensity hue saturation; methods based on wavelet transforms, such as wavelet à trous, additive wavelet luminance proportional and multidirectional–multiresolution methods; a method of a geostatistical nature, called downscaling cokriging (DCK); and finally, a Bayesian method (1cor). The comparison of the fused images is based on the qualitative and quantitative evaluation of their spatial and spectral characteristics by calculating statistical indices and parameters that measure the quality and coherence of the images. Moreover, the quality of the spectral information is studied indirectly by means of the Iterative Self-Organizing Data Analysis Technique (ISODATA) classification of the products of fusion. The results show that DCK and 1cor methods yielded better results than the wavelet-based methods. Particularly, DCK does not introduce artefacts in the estimation of the digital numbers corresponding with the source multispectral image and, therefore, it can be considered as the most coherent method.

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Rodriguez-Galiano et al IJRS 2012.pdf - Version of Record
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Published date: June 2012
Organisations: Global Env Change & Earth Observation

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Local EPrints ID: 360095
URI: http://eprints.soton.ac.uk/id/eprint/360095
ISSN: 0143-1161
PURE UUID: fa15b75a-a48f-44ff-9f76-3da399da95a8

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Date deposited: 25 Nov 2013 13:52
Last modified: 14 Mar 2024 15:33

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Contributors

Author: Victor F. Rodriguez Galiano
Author: Eulogio Pardo-Igúzquiza
Author: Mario Chica-Olmo
Author: Javier Mateos
Author: Juan P. Rigol-Sánchez
Author: Miguel Vega

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