摘要
以WorldView 3卫星影像为数据源,综合利用光谱、几何、纹理和上下文等特征,在最优分割的基础上建立区域最优分割参数多层次提取模型,运用数据挖掘等方法提取道路网,基于数学形态学膨胀、腐蚀等方法,对道路提取结果进行断线连接、孔洞填充和细化去毛刺等分类后处理.结果表明,城市道路网提取的完整率、正确率、提取质量分别达到94.42%、89.23%和87.61%.
With WorldView 3 satellite images as the data source, this paper comprehensively utilized spectra, geometric characteristics, texture and context, to set up a regional optimal scale multi-level extraction model on the basis of segmentation image spot and used the method of data mining to extract the road network, based on mathematical morphology, corrosion expansion methods, as well as the road extraction result of bolt connection, holes filling and refined classification reprocessing, deburring, etc.The results showed that the urban road network was extracted with a full rate and good accuracy,with the extracting quality reaching 94.42%, 89.23% and 87.61% respectively.
引文
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