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A hierarchical classifier using a new SVRDM (support vector representation and discrimination machine) is proposed for automatic target recognition. An accuracy and distance-based method is used to design a hierarchical classifier. Our SVRDM hierarchical classifier has the ability to reject unseen non-object classes and clutter inputs. Uses of both iconic and spatial frequency domain features are considered. Initial recognition and rejection test results on infrared (IR) data are excellent.
Neural Networks, 2005. IJCNN '05. Proceedings. 2005 IEEE International Joint Conference on (Volume:1 )
Date of Conference: 31 July-4 Aug. 2005