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《Journal of Computer Applications》 2010-02
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Road extraction from remote sensing images combining region growing with level set

GU Dan-dan,WANG Xi-li(College of Computer Science,Shaanxi Normal University,Xi'an Shaanxi 710062,China)  
A color region growing algorithm based on PCA(Principal Component Analysis) was proposed.Level set method was employed to extract urban roads from high-resolution remote sensing images.Firstly,the region growing algorithm was applied to the preliminary road segmentation,and then the roughly obtained road region was used to construct the initial level set function,which then evolved stably according to a level set evolution equation without re-initialization.Finally,a regularizing local edge algorithm based on level set without re-initialization was presented,and utilized to regularize the local erroneous road curve due to obstacles.Experimental results show that the method is efficient and practical for extracting complete roads from high-resolution remote sensing images,with less manual intervention and stronger anti-noise ability.
【Fund】: 国家自然科学基金资助项目(40671133)
【CateGory Index】: TP751
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