ISNN 2004: Advances in Neural Networks – ISNN 2004 pp 531-536 | Cite as
Radar HRR Profiles Recognition Based on SVM with Power-Transformed-Correlation Kernel
Conference paper
Abstract
Radar automatic target recognition (RATR) based on high-range- resolution (HRR) profiles and support vector machine (SVM) classifier is concerned. The physical mechanism of a RATR performance improvement approach, namely, performing the power transformation to the original HRR signatures, is analyzed based on the properties of HRR profiles. And a novel kernel function, power transformed correlation (PTC) kernel, is designed subsequently for SVM classifiers. The classification performance of SVM and maximum correlation coefficient (MCC) classifier are evaluated based on the measured data.
Keywords
Support Vector Machine Classification Performance Support Vector Machine Classifier Power Transformation Maximum Correlation Coefficient
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© Springer-Verlag Berlin Heidelberg 2004