One airport detection method based on support vector machine

作     者：QU Yanyun ZHENG Nanning LI Cuihua 

作者机构：Institute of Artificial Intelligence and RoboticsXi’an Jiaotong UniversityXi’an 710049China Computer Science DepartmentXiamen UniversityXiamen 361005China 

出 版 物：《Frontiers of Electrical and Electronic Engineering in China》 (中国电气与电子工程前沿（英文版）)

年 卷 期：2007年第2卷第4期

页      面：444-448页

学科分类：0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 0805[工学-材料科学与工程（可授工学、理学学位）] 0702[理学-物理学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by the National Natural Science Foundation of China(Grant No.60175006) 

主　　题：airport detection support vector machine line detection 

摘      要：This paper proposes a novel airport detection method,which integrates the texture features and shape features of the *** texture features,such as the mean of the region,the deviation of the region,the smoothness of the region,the skewness of a histogram,the uniformity of the region,the randomness of the region,the mean of the gradient image and the deviation of the gradient image,are used to represent the features of the *** this method,first the long lines are detected and the regions where the lines locate are ***,support vector machine(SVM)based on Gaussian kernel is used as a classifier which discriminates the runway from other candidate *** results show that the error rate of the proposed method is lower than those of conventional methods which detect airport only by the shape feature of *** detection accuracy of the proposed method is nearly ten times higher than that of Liu’s methods,and the method has favorable speed for a real-time system.