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Proceedings Paper

Multiresolution fusion of remotely sensed images with the Hermite transform
Author(s): Boris Escalante-Ramirez; Alejandra Aurelia Lopez-Caloca; Cira Francisca Zambrano-Gallardo
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Paper Abstract

The Hermite Transform is an image representation model that incorporates some important properties of visual perception such as the analysis through overlapping receptive fields and the Gaussian derivative model of early vision. It also allows the construction of pyramidal multiresolution analysis-synthesis schemes. We show how the Hermite Transform can be used to build image fusion schemes that take advantage of the fact that Gaussian derivatives are good operators for the detection of relevant image patterns at different spatial scales. These patterns are later combined in the transform coefficient domain. Applications of this fusion algorithm are shown with remote sensing images, namely LANDSAT, IKONOS, RADARSAT and SAR AeS-1 images.

Paper Details

Date Published: 5 February 2004
PDF: 10 pages
Proc. SPIE 5238, Image and Signal Processing for Remote Sensing IX, (5 February 2004); doi: 10.1117/12.511419
Show Author Affiliations
Boris Escalante-Ramirez, Ctr. de Investigacion en Geograia y Geomatica (Mexico)
Univ. Nacional Autonoma de Mexico (Mexico)
Alejandra Aurelia Lopez-Caloca, Ctr. de Investigacion en Geografia y Geomatica (Mexico)
Univ. Nacional Autonoma de Mexico (Mexico)
Cira Francisca Zambrano-Gallardo, Univ. Nacional Autonoma de Mexico (Mexico)

Published in SPIE Proceedings Vol. 5238:
Image and Signal Processing for Remote Sensing IX
Lorenzo Bruzzone, Editor(s)

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