Biomedical Imaging GroupSTI
English only   BIG > Publications > Filter Banks

 Home Page
 News & Events
 Tutorials and Reviews
 Download Algorithms

 PDF not available
 PS not available
 All BibTeX References

Using Iterated Rational Filter Banks Within the ARSIS Concept for Producing 10 m Landsat Multispectral Images

P. Blanc, T. Blu, T. Ranchin, L. Wald, R. Aloisi

International Journal of Remote Sensing, vol. 19, no. 12, pp. 2331-2343, August 1998.

The ARSIS concept is designed 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 2. Rational discrete wavelet transforms can be approximated numerically 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 paper 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 10m multispectral image TM-HR.

AUTHOR="Blanc, P. and Blu, T. and Ranchin, T. and Wald, L. and
        Aloisi, R.",
TITLE="Using Iterated Rational Filter Banks Within the {ARSIS}
        Concept for Producing 10 {m} {L}andsat Multispectral Images",
JOURNAL="International Journal of Remote Sensing",

© 1998 International Journal of Remote Sensing. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from International Journal of Remote Sensing.
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.