Image interpretation is a interest area and a bottle problem for photogrammetry and remote sensing. Support Vector Machines (SVM) is a hot research field in Machine Learning. SVM is a kind of novel machine learning method based on Statistical Learning Theory (SLT) proposed by Vapnik. SVM can better solve the learning problem of small sample. This paper proposes that the SVM is used in the classification and segmentation on aerial image. The purpose of the paper is to play foundation for researches on aerial...
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