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

Abstract : The ARSIS concept makes use of wavelet transforms and multiresolution analysis to improve the spatial resolutions of images from a set made of a low resolution image in the same spectral band and a high resolution image in an other spectral band. The paper deals with the use of rational filter banks in ARSIS. Indeed, first this concept was operationally applied with dyadic wavelet transforms that limit the merging of images with a ratio between spatial resolutions equals to a power of two. Provided some conditions, rational filter banks can be seen as a good approximation of rational wavelet transforms and, thus, enable a more general merging of images with ARSIS. The advantages of those rational filter banks compared to other methods are discussed and illustrated by an example of fusion of a 10 m SPOT Panchromatic image and a 30 m Landsat Thematic Mapper (TM) multispectral image into a synthetic 10 m multispectral image called hereafter TM-HR.
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https://hal-mines-paristech.archives-ouvertes.fr/hal-00464736
Contributor : Lucien Wald <>
Submitted on : Tuesday, April 20, 2010 - 4:37:15 AM
Last modification on : Thursday, September 24, 2020 - 5:22:03 PM
Long-term archiving on: : Thursday, June 30, 2011 - 12:11:36 PM

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  • HAL Id : hal-00464736, version 1

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Philippe Blanc, Thierry Ranchin, Thierry Blu, Lucien Wald, Roberto Aloisi. Using iterated rational filter banks within the ARSIS method for producing 10 m Landsat multispectral images. "Fusion of Earth data: merging point measurements, raster maps and remotely sensed images", Feb 1996, Cannes, France. pp.69-74. ⟨hal-00464736⟩

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