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Proceedings Paper

Cross-sensor resolution enhancement of hyperspectral images using wavelet decomposition
Author(s): Laurent Peytavin
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Paper Abstract

In the satellite remote-sensing domain, some technological and physical constraints are not in favor of acquiring high spatial resolution hyperspectral images when there is a need to use high resolution panchromatic images as complementary data to the hyperspectral images. If the data are taken nearly at the same time, some cross-sensor resolution enhancement techniques are able to produce a merged image as close as possible of what would be a high spatial resolution hyperspectral image. Multiresolution wavelet decomposition is the most interesting tool to perform this process. Some merging experiments on AVIRIS images (pixel size 20 meters) and USGS digital aerial images (pixel size 1 meter) have been conducted using this technique. They produced simulated AVIRIS images having a spatial resolution of 5 meters. If the preliminary co-registration step remains critical, global spectral statistics and visual qualitative experimentations show that the result is a non-disturbed hyperspectral image, good candidate for straight exploitation.

Paper Details

Date Published: 17 June 1996
PDF: 11 pages
Proc. SPIE 2758, Algorithms for Multispectral and Hyperspectral Imagery II, (17 June 1996); doi: 10.1117/12.243214
Show Author Affiliations
Laurent Peytavin, Matra Cap Systemes (France)

Published in SPIE Proceedings Vol. 2758:
Algorithms for Multispectral and Hyperspectral Imagery II
A. Evan Iverson, Editor(s)

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