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Proceedings Paper

Spatial frequency models for multispectral image sharpening
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Paper Abstract

Many techniques have been developed and demonstrated to combine low spatial resolution multispectral imagery with relatively high resolution panchromatic imagery to accomplish multispectral 'sharpening'. We investigate here a particular approach, high frequency modulation, and show that care must be exercised in the design of spatial weighting functions in order to optimize the resulting fused image. Mathematical relationships are derived showing that, under reasonable assumptions, the modulation equation leads to a specific and intuitively satisfying form of the weighting function. Examples of sharpened multispectral images are presented demonstrating the predicted improvement when attention is given to the spatial weighting function.

Paper Details

Date Published: 8 July 1994
PDF: 7 pages
Proc. SPIE 2231, Algorithms for Multispectral and Hyperspectral Imagery, (8 July 1994); doi: 10.1117/12.179788
Show Author Affiliations
Robert A. Schowengerdt, Univ. of Arizona (United States)
Daniel P. Filiberti, Oregon Health Sciences Univ. (United States)

Published in SPIE Proceedings Vol. 2231:
Algorithms for Multispectral and Hyperspectral Imagery
A. Evan Iverson, Editor(s)

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