Multispectral image resolution enhancement to improve efficiency of spectral-analysis algorithms

Roberto Aloisi; Yvan Grabit

doi:10.1117/12.243211

17 June 1996 Multispectral image resolution enhancement to improve efficiency of spectral-analysis algorithms

Roberto Aloisi, Yvan Grabit

Proceedings Volume 2758, Algorithms for Multispectral and Hyperspectral Imagery II; (1996) https://doi.org/10.1117/12.243211
Event: Aerospace/Defense Sensing and Controls, 1996, Orlando, FL, United States

Abstract

The ARSIS method (ARSIS: French acronym for 'spatial resolution enhancement by injection of structures') is based on multiresolution analysis techniques, especially on the wavelet transform. Its goal is to increase the spatial resolution of an image using the geometric structures extracted from a higher resolution image, given a sufficient level of spatial correlation between these two images. The method was developed on SPOT data for the processing of 10 meter resolution multispectral images. This paper presents the studies conducted for the adaptation of ARSIS to allow the fusion of SPOT XS data with high resolution panchromatic aerial imagery. The models used in the original method revealed themselves to be ineffective for important resolution differences between the images and various methods were tested to obtain acceptable results.

Citation Download Citation

Roberto Aloisi and Yvan Grabit "Multispectral image resolution enhancement to improve efficiency of spectral-analysis algorithms", Proc. SPIE 2758, Algorithms for Multispectral and Hyperspectral Imagery II, (17 June 1996); https://doi.org/10.1117/12.243211

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