Highway Landscape Layout Assessment Based on Fuzzy-Cluster Support Vector Machine
Inherent relationship between highway landscape layout-angle and landscape picture characteristics is found out after the analysis of many highway landscape pictures. The features of highway landscape layout-angle were extracted by the method of principal components analysis, and the participants marking values were clustered using fussy-cluster algorithm. Then a mathematics model based on support vector machine is built up, which can be used to assess highway landscape layout objectively. The results show that it is proper to use the model based on support vector machine to assess highway landscape layout.
highway landscape layout objective assessment fuzzy-k means support vector machine
Cong Haozhe Wang Huijun Wang Xiang
Key Lab of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai, China, 201804
国际会议
长沙
英文
1692-1695
2009-10-10(万方平台首次上网日期,不代表论文的发表时间)