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28 December 2000 Automatic map updating by fusion of multispectral images in the Dempster-Shafer framework
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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.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Fabrice Janez, Olivier Goretta, and Alain Michel "Automatic map updating by fusion of multispectral images in the Dempster-Shafer framework", Proc. SPIE 4115, Applications of Digital Image Processing XXIII, (28 December 2000);


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