A Novel Decision and Reject Method for Multi-Class Problems in a Target Classification Framework for SAR Scenarios

Conference: EUSAR 2006 - 6th European Conference on Synthetic Aperture Radar
05/16/2006 - 05/18/2006 at Dresden, Germany

Proceedings: EUSAR 2006

Pages: 4Language: englishTyp: PDF

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Middelmann, Wolfgang; Ebert, Alfons; Thönnessen, Ulrich (FGAN-FOM Research Institute for Optronics and Pattern Recognition, Germany)

The improvement and enhancement of classifiers for SAR signatures are a permanent challenge. The focus of this paper is the development of a decision and reject method suitable for a kernel-machine-based target classification framework. Using a standard approach clutter objects may be accepted although they are not belonging to the trained classes. To overcome this problem a novel reject methodology was developed. The feature space transformation by a family of basis kernel-classifiers defines an extraction of information relevant for class discrimination. Thus, the test functions of these basis classifiers provide a feature vector for an additional classifier that is responsible for accepting or rejecting the objects. A first assessment of the developed methods was done using a SAR data set provided by QinetiQ. Related ROC curves are presented.