期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2008
卷号：XXXVII Part B3b
页码：509-514
出版社：Copernicus Publications
摘要：It is still an open problem to extract road feature from high-resolution remote sensing image, although this topic had been intensively investigated and many methods had been put forwards. All works for this thesis are focused on modern urban road and include the following four steps: image pre-processing, threshold calculation, feature extraction for straight line and curved line, target reconstruction. In this contribution, a new and semi-automatic approach is proposed based on phase classification. Firstly, basic road network can be obtained from high-resolution remote sensing image based on grey level mathematical morphology and canny algorithm and then road information can be exactly extracted by means of the "grey" parameters which are various for different kinds of road models based on the theory of phase-based classification. Additionally, the proposed method can also be employed to elevate urban highways, especially for the curve parts of which. The extracting results are reasonable
