Using iterated rational filter banks within the ARSIS concept for producing 10 m Landsat multispectral images

The ARSIS concept is meant to increase the spatial resolution of an image without modification of its spectral contents by merging structures extracted from a higher resolution image of the same scene but in a different spectral band. It makes use of wavelet transforms and multiresolution analysis....

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Bibliographic Details
Published inInternational journal of remote sensing Vol. 19; no. 12; pp. 2331 - 2343
Main Authors BLANC, P, BLU, T, RANCHIN, T, WALD, L, ALOISI, R
Format Journal Article
LanguageEnglish
Published Abingdon Taylor and Francis 1998
Taylor & Francis
Subjects
Applied geophysics
Computer Science
Earth sciences
Earth, ocean, space
Engineering Sciences
Exact sciences and technology
Internal geophysics
Signal and Image processing
France
Western Europe
resolution power
Thematic Mapper
Spot
Europe
multispectral remote sensing
Space remote sensing
Landsat
imagery
spatial resolution
statistical analysis
correlation coefficient
Bouches-du-Rhone France
high resolution
data fusion
remote sensing
images
multi-resolution
multispectral
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Summary:The ARSIS concept is meant to increase the spatial resolution of an image without modification of its spectral contents by merging structures extracted from a higher resolution image of the same scene but in a different spectral band. It makes use of wavelet transforms and multiresolution analysis. It is currently applied in an operational way with dyadic wavelet transforms that limit the merging of images whose ratio of their resolution is a power of two. Nevertheless, provided some conditions, rational discrete wavelet transforms can be numerically approximated by rational filter banks which would enable a more general merging: indeed, in theory, the ratio of the resolution of the images to merge is a power of a certain family of rational numbers. The aim of this article is to examine whether the use of those approximations of rational wavelet transforms are efficient within the ARSIS concept. This work relies on a particular case: the merging of a 10 m SPOT Panchromatic image and a 30 m Landsat Thematic Mapper multispectral image to synthesize 10 m multispectral image called TM-HR.
ISSN:0143-1161
1366-5901