The effect of C is large for aerial image segmentation and classification.
航空影像纹理分类和分割对常数C敏感;
This paper researches the parameters (kernel, penalty parameter c) of SVM and the dimension of feature, which influence aerial image segmentation and classification.
研究了支持向量机参数(核函数、惩罚因子c)和影像特征维数对航空影像分割与分类的影响。
This paper proposes the method of decision-tree SVM on two levels pyramid image, it could solve the segmentation problem of multi-classes objects on aerial image.
提出了两级金字塔影像上的决策树支持向量机方法,解决航空影像中多类地物的分割问题。
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