文献类型：会议论文

英文题名：Application Research of Support Vector Machine in Multi-spectra Remote Sensing Image Classification

作者：Wang Yujian[1];Yuan Jiazheng[1];Fan Lili[1];Liu Zhiguo[1]

第一作者：王育坚

通讯作者：Wang, YJ[1]

机构：[1]Beijing Union Univ, Inst Informat Technol, Beijing, Peoples R China

第一机构：北京联合大学智慧城市学院

通讯机构：[1]corresponding author), Beijing Union Univ, Inst Informat Technol, Beijing, Peoples R China.|[1141734]北京联合大学智慧城市学院;[11417]北京联合大学;

会议论文集：2nd International Congress on Image and Signal Processing

会议日期：OCT 17-19, 2009

会议地点：Tianjin, PEOPLES R CHINA

语种：英文

外文关键词：SVM; Multi-spectra remote sensing image; SMO; fuzzy clustering

摘要：In order to improve the accuracy of multi-spectra remote sensing image classification, a terrain classification method based on support vector machine is proposed. A remote sensing image classification method based on SVM algorithm of C-SVC type is introduced and emphasis is put on the study of the improved SMO algorithm. In order to improve efficiency of classification, multiple-spectra remote sensing image classification of terrain is classified using fuzzy clustering based on fuzzy c-means algorithm which adopt semi-supervised improved algorithm. The experimental results show that the approach has an advantage over traditional classification methods.