Abstract
A novel SAR image automatic target hierarchy recognition (ATHR) system based on SVM and D-S evidence theory is proposed in this chapter. This system has three hierarchies corresponding to three features. PCA, LDA and NMF features are extracted from images without preprocessing, and are fed to SVM classifier. However, not all features are used in each recognition process. At each recognition process, a threshold is used to determine the used features and hierarchy depth. Experiments on MSTAR public data set demonstrate that the proposed system outperforms the system combining the outputs of three features directly.
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Acknowledgments
This work is supported by Fundamental Research Funds for the Central Universities under Projects ZYGX2009Z005.
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Cui, Z., Cao, Z., Yang, J., Cheng, J., Huang, Y., Xu, L. (2012). A Hierarchy System for Automatic Target Recognition in SAR Images. In: Liang, Q., et al. Communications, Signal Processing, and Systems. Lecture Notes in Electrical Engineering, vol 202. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-5803-6_1
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DOI: https://doi.org/10.1007/978-1-4614-5803-6_1
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