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Proceedings Paper

Model-based sensor fusion for target recognition
Author(s): Karl-Heinz Bers; Klaus Jaeger; Klaus Jurkiewicz
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Paper Abstract

The automatic recognition and interpretation of complex structures from imagery, e.g. radar or IR images, needs a structure-oriented analysis method. This paper describes a syntactic approach for object classification in radar and IR images, by which the geometric structures of targets are analyzed using a knowledge-based production system. Those objects which are describable by two- or three-dimensional models have to be acquired independently of changes of illumination, weather conditions or status of vegetation. Perspective distortions and model description errors also have to be tolerated. The aim of the implemented method is to classify the interesting targets in uncertain data with uncertain models.

Paper Details

Date Published: 24 May 1996
PDF: 10 pages
Proc. SPIE 2756, Automatic Object Recognition VI, (24 May 1996); doi: 10.1117/12.241137
Show Author Affiliations
Karl-Heinz Bers, FEGAN-Forschungsinstitut fuer Informationsverarbeitung und Mustererkennung (Germany)
Klaus Jaeger, FEGAN-Forschungsinstitut fuer Informationsverarbeitung und Mustererkennung (Germany)
Klaus Jurkiewicz, FEGAN-Forschungsinstitut fuer Informationsverarbeitung und Mustererkennung (Germany)


Published in SPIE Proceedings Vol. 2756:
Automatic Object Recognition VI
Firooz A. Sadjadi, Editor(s)

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