Road extraction from high resolution remote sensing image based on mathematics morphology
Extracting target information from the remote sensing images has been becoming an important method of updating the spatial geography data.With the development of spatial technology,sensor technology,digital image processing technology and the computer pattern recognition technology,how to extract target information from the high resolution remote sensing images has become the target of many researchers.Based on the feasibility experimental study of road extraction using Mathematics Morphology,this paper put forward one kind of road extraction method with Mathematics Morphology as primarily path and seed growing as auxiliary path.City road network information in high resolution remote sensing image is taken as the research object.In this paper Mathematics Morphology method and the segment method of Support Vector Machine are used.This paper presents that the combination of Mathematics Morphology and seed growing method has priority to Mathematics Morphology or seed growing used respectively,especially has the superiority in extracting the road detail information.
road extraction high resolution remote sensing image seed growing Mathematics Morphology
Hongbin Ma Yahong Zhao Yongsheng Chen
Surveying and Mapping Engineering Department of Northeastern University,Liaoning,Shenyang 110004,China
国际会议
第16届国际地理信息科学与技术大会(16th International Conference on GeoInformatics and the Joint Conference)
广州
英文
2008-06-28（万方平台首次上网日期，不代表论文的发表时间）