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《Science of Surveying and Mapping》 2008-05
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Research on method of semi-automatic road extraction based on remote sensing image with high-resolution

XIA Chun-lin①,ZHANG Jing②,CHU Ting-you①(①School of Geomatics,Liaoning Technical University,Fuxin 123000,China;②College of Geomatics,Xian University of Science And Technotogy,Xian 710054,China)  
Automatic and intelligent collection of artificial features based on remote sensing image is always an important task in photogrammetry and remote sensing field.Roads are important geographic information,and it become a challenge for the complication of road characteristics to extracting method since the image's resolution of remote sensing is getting higher and higher.A semi-automatic method is put forward that is fit for the images with high-resolution aiming at the exist problems with roads extraction on the images,which combined with the conception of multi-solution analysis,the principle of model matching and LSB-Snake modeling together.The method can fetch up the shortage of LSB-Snake model and is provided with a capacity of anti-noise,so that it can be a effective resort applying in road extraction on remote sensing image with high-resolution,which has good interactivity,reliability and efficiency.
【CateGory Index】: P237
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