Cross-sensor resolution enhancement of hyperspectral images using wavelet decomposition

Laurent Peytavin

doi:10.1117/12.243214

Translator Disclaimer

17 June 1996 Cross-sensor resolution enhancement of hyperspectral images using wavelet decomposition

Laurent Peytavin

Author Affiliations +

Proceedings Volume 2758, Algorithms for Multispectral and Hyperspectral Imagery II; (1996) https://doi.org/10.1117/12.243214
Event: Aerospace/Defense Sensing and Controls, 1996, Orlando, FL, United States

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.

Citation Download Citation

Laurent Peytavin "Cross-sensor resolution enhancement of hyperspectral images using wavelet decomposition", Proc. SPIE 2758, Algorithms for Multispectral and Hyperspectral Imagery II, (17 June 1996); https://doi.org/10.1117/12.243214

ACCESS THE FULL ARTICLE