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：523-528
出版社：Copernicus Publications
摘要：Extracting the targets information from the remote sensing image has become the important method of updating the spatial geography information. With the development of spatial technology, sensor technology,digital image processing technology and the computer pattern recognition technology, how to extracting the targets information from the high resolution remote sensing image has become the important research content of the spatial information renews. And the exhaustive and accurate road net information plays an important role in the traffic control, the urban planning, the automatic vehicles navigation, the emergency business processes and so on. The Quick bird high resolution remote sensing image of Shenyang which is obtained in September,2006 is used as the research data. First, carry on pre-treatment to the remote sensing image, mainly uses the colour transformation-hsv transformation; Second use the supervised classification method– Support Vector Machine to classify, and evaluate the precision of the classification result, then change the classification image into binary image, and use the mathematics morphology method-(open\close operation)simplification image data, to maintain their basic shape characteristic, and except the irrelevant structure characteristic, in this paper we select the structure elements se0=strel('line',10,30) and se1=strel('line',10,120) shape operation to the binary image, extract the road skeleton; at last use the seed growth algorithm to extraction the road median line that has certain length and direction. the experiment proves that This method that gives priority to mathematics morphology and gives assistance to the seed growing method has extract the road net information well, specially has the superiority in extracting the road detail information
