Improved stereo point matching in meteorological satellite images

Fabio Dell'Acqua; Paolo Gamba

doi:10.1117/12.373241

14 December 1999 Improved stereo point matching in meteorological satellite images

Fabio Dell'Acqua, Paolo Gamba

Proceedings Volume 3871, Image and Signal Processing for Remote Sensing V; (1999) https://doi.org/10.1117/12.373241
Event: Remote Sensing, 1999, Florence, Italy

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.

Citation Download Citation

Fabio Dell'Acqua and Paolo Gamba "Improved stereo point matching in meteorological satellite images", Proc. SPIE 3871, Image and Signal Processing for Remote Sensing V, (14 December 1999); https://doi.org/10.1117/12.373241

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