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 researches the parameters (kernel, penalty parameter c) of SVM and the dimension of feature, which influence aerial image segmentation and classification.
航空影像纹理分类和分割对常数C敏感；
The effect of C is large for aerial image segmentation and classification.
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。
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.
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