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Proceedings Paper

Multispectral image resolution enhancement to improve efficiency of spectral-analysis algorithms
Author(s): Roberto Aloisi; Yvan Grabit
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Paper 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.

Paper Details

Date Published: 17 June 1996
PDF: 8 pages
Proc. SPIE 2758, Algorithms for Multispectral and Hyperspectral Imagery II, (17 June 1996); doi: 10.1117/12.243211
Show Author Affiliations
Roberto Aloisi, Aerospatiale Espace et Defense (France)
Yvan Grabit, Fleximage (France)


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

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