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

Abstract : 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.
Complete list of metadatas

https://hal.archives-ouvertes.fr/hal-00356173
Contributor : Lucien Wald <>
Submitted on : Monday, January 26, 2009 - 5:45:31 PM
Last modification on : Tuesday, March 27, 2018 - 4:06:22 PM
Long-term archiving on : Tuesday, June 8, 2010 - 6:51:11 PM

File

1998_IJRS_Blanc.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-00356173, version 1

Citation

Philippe Blanc, Thierry Blu, Thierry Ranchin, Lucien Wald, Roberto Aloisi. Using iterated rational filter banks within the ARSIS concept for producing 10 m Landsat multispectral images. International Journal of Remote Sensing, Taylor & Francis, 1998, 19 (12), pp.2331-2343. ⟨hal-00356173⟩

Share

Metrics

Record views

220

Files downloads

274