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Proceedings Paper

Automatic map updating by fusion of multispectral images in the Dempster-Shafer framework
Author(s): Fabrice Janez; Olivier Goretta; Alain Michel
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Paper Abstract

In this article, we present a strategy to report in an automatic way significant changes on a map by fusion of recent images in various spectral bands. We focus on industrial scenes where changes concern objects like man-made structures and water areas. The approach is a two-stage processing. The first one concerns the detection of cartographic objects that do not exist anymore. The second one concerns the detection of new objects by a multispectral classification of the images. For configurations of partial overlapping between map and images, it is difficult or even impossible to formalize the approach suggested within a probabilistic framework. Thus, the Dempster-Shafer theory is shown as a more suitable formalism in view of the available information, and we present several solutions. Experimental results are presented.

Paper Details

Date Published: 28 December 2000
PDF: 11 pages
Proc. SPIE 4115, Applications of Digital Image Processing XXIII, (28 December 2000); doi: 10.1117/12.411549
Show Author Affiliations
Fabrice Janez, ONERA (France)
Olivier Goretta, DGA Fort d'Issy (France)
Alain Michel, ONERA (France)

Published in SPIE Proceedings Vol. 4115:
Applications of Digital Image Processing XXIII
Andrew G. Tescher, Editor(s)

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