Multiresolution fusion of remotely sensed images with the Hermite transform

Boris Escalante-Ramirez; Alejandra Aurelia Lopez-Caloca; Cira Francisca Zambrano-Gallardo

doi:10.1117/12.511419

5 February 2004 Multiresolution fusion of remotely sensed images with the Hermite transform

Boris Escalante-Ramirez, Alejandra Aurelia Lopez-Caloca, Cira Francisca Zambrano-Gallardo

Proceedings Volume 5238, Image and Signal Processing for Remote Sensing IX; (2004) https://doi.org/10.1117/12.511419
Event: Remote Sensing, 2003, Barcelona, Spain

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.

Citation Download Citation

Boris Escalante-Ramirez, Alejandra Aurelia Lopez-Caloca, and Cira Francisca Zambrano-Gallardo "Multiresolution fusion of remotely sensed images with the Hermite transform", Proc. SPIE 5238, Image and Signal Processing for Remote Sensing IX, (5 February 2004); https://doi.org/10.1117/12.511419

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