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《Scientia Geographica Sinica》 2011-08
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Urban Road Extraction of High Resolution Remote Sensing Based on Shape Reconstruction

YANG Xian-wu1,WEI Chun-tao2,LI Cai-lu2,WU Ping2(1.Department of Urban and Environment,Xinyang Normal University,Xinyang,Henan 464000,China; 2.Department of Civil Engineering,Guilin University of Technology,Guilin,Guangxi 541004,China)  
In the high resolution remote sensing images,urban roads are the narrow areas that have the performance of local gray approximation and the width with slow change.The method of road extraction is proposed based on morphological reconstruction because of these morphological characteristics.Firstly,enhancing the original remote sensing image to highlight the image edge information,and making the enhanced image initial segmentation by the Otsu threshold segmentation method.Secondly,the original image is morphological reconstructed respectively by the different constructed markers according to the morphological characteristics of image elements,and the roads and buildings become the new image module.Lastly,the reconstructed road modules are contour extracted and refined for the road profile and centerline.Experimental results show that the method can effectively extract the urban road network from the high resolution remote sensing images.
【Fund】: 广西自然科学基金项目(桂科自0728219)资助
【CateGory Index】: TP751
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