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25 October 2010 Gaussian process classification using automatic relevance determination for SAR target recognition
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Abstract
In this paper, a Synthetic Aperture Radar Automatic Target Recognition approach based on Gaussian process (GP) classification is proposed. It adopts kernel principal component analysis to extract sample features and implements target recognition by using GP classification with automatic relevance determination (ARD) function. Compared with k-Nearest Neighbor, Naïve Bayes classifier and Support Vector Machine, GP with ARD has the advantage of automatic model selection and hyper-parameter optimization. The experiments on UCI datasets and MSTAR database show that our algorithm is self-tuning and has better recognition accuracy as well.
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Xiangrong Zhang, Limin Gou, Biao Hou, and Licheng Jiao "Gaussian process classification using automatic relevance determination for SAR target recognition", Proc. SPIE 7830, Image and Signal Processing for Remote Sensing XVI, 78300R (25 October 2010); https://doi.org/10.1117/12.864845
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