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Proceedings Paper

Neural approach for satellite image registration and pairing segmented areas
Author(s): P. Bourret; B. Cabon; Eliane Cubero-Castan; E. Schaeffer; J. Y. Rousselot
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Paper Abstract

This paper describes a complete method for pairing segmented areas on SPOT satellite images. Firstly, we present a segmentation algorithm which used a multi-scale edge detector and an edge closing process. Then, we propose a registration method without marker. This process is based upon the minimization of an energy function which can be computed after the segmentation step on the two images. Lastly we present a method for pairing sets of contiguous fields in the two images. The mapping of fields themselves is not possible because the fields may have merged (or be splitted into several fields) during the delay occurring between the two images. This method is also based upon the minimization of an energy function which is performed by the Mean Field Theory.

Paper Details

Date Published: 17 November 1995
PDF: 10 pages
Proc. SPIE 2579, Image and Signal Processing for Remote Sensing II, (17 November 1995); doi: 10.1117/12.226844
Show Author Affiliations
P. Bourret, ONERA-CERT (France)
B. Cabon, ONERA-CERT (France)
Eliane Cubero-Castan, CNES (France)
E. Schaeffer, ONERA-CERT (France)
J. Y. Rousselot, ONERA-CERT (France)

Published in SPIE Proceedings Vol. 2579:
Image and Signal Processing for Remote Sensing II
Jacky Desachy, Editor(s)

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