Support Vector Machine (SVM) is a hyperplane-based classification of new learning method, has strong generalization ability. Of support vector machine learning mechanism, and the realization of support vector machines Sequential Minimal Optimization (SMO), and used to identify the image on the ship. Targets to be identified first two-dimensional wavelet decomposition, for different scales of wavelet coefficients, and then carry out the main element of their analysis, the main element component as the feature of SVM input. Experimental results show that the method has good classification performance.

基于支持向量机的舰船图像识别.pdf

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