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Proceedings Paper

Improved stereo point matching in meteorological satellite images
Author(s): Fabio Dell'Acqua; Paolo Gamba
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Paper Abstract

In this paper a method for extracting objects from meteorological stereo satellite images and matching parts of them is presented. Great emphasis is put on the choice of the threshold value for object extraction. The matching method is based on a modal matching algorithm: the objects to be matched are sampled and ideally turned into elastic objects. A finite element method allows computing modes of vibration for such elastic body. By comparing displacements due to vibrations in each point from both pictures it is possible to match corresponding parts in the two different viewpoints.

Paper Details

Date Published: 14 December 1999
PDF: 9 pages
Proc. SPIE 3871, Image and Signal Processing for Remote Sensing V, (14 December 1999); doi: 10.1117/12.373241
Show Author Affiliations
Fabio Dell'Acqua, Univ. degli Studi di Pavia (Italy)
Paolo Gamba, Univ. degli Studi di Pavia (Italy)

Published in SPIE Proceedings Vol. 3871:
Image and Signal Processing for Remote Sensing V
Sebastiano Bruno Serpico, Editor(s)

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