Model-based sensor fusion for target recognition

Karl-Heinz Bers; Klaus Jaeger; Klaus Jurkiewicz

doi:10.1117/12.241137

24 May 1996 Model-based sensor fusion for target recognition

Karl-Heinz Bers, Klaus Jaeger, Klaus Jurkiewicz

Proceedings Volume 2756, Automatic Object Recognition VI; (1996) https://doi.org/10.1117/12.241137
Event: Aerospace/Defense Sensing and Controls, 1996, Orlando, FL, United States

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.

Citation Download Citation

Karl-Heinz Bers, Klaus Jaeger, and Klaus Jurkiewicz "Model-based sensor fusion for target recognition", Proc. SPIE 2756, Automatic Object Recognition VI, (24 May 1996); https://doi.org/10.1117/12.241137

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