会议专题

Extraction of Road Networks Using Matching Pattern and Mathematical Morphology Technology

Road information is an important geomatic information in the study of remote sensing images. Its automatic extraction from remote sensing images will simplify classification and measures of objects in the images. But automatic extraction of road network is very difficult. In this paper we propose a semi-automatic extraction method. Through pattern matching and processing with mathematical morphology, a skeleton of road network can be obtained. Experimental results show that the method is quite accurate with simplicity and rapidity for middle or high-resolution remote sensing images.

Mathematical Morphology extraction of road network image match

Rong Liu Rongcong Xu Meiqing Wang

College of Mathematics and Computer Science, Fuzhou University Fuzhou, Fujian, 35000

国际会议

2006 International Symposium on Distributed Computing and Applications to Business,Engineering and Science(2006年国际电子、工程及科学领域的分布式计算应用学术研讨会)

杭州

英文

499-501

2006-10-12(万方平台首次上网日期,不代表论文的发表时间)