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首页> 外文会议>Conference on Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications; 20071115-17; Wuhan(CN) >Road extraction from high-resolution remote sensing images based on characteristics
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Road extraction from high-resolution remote sensing images based on characteristics

机译：基于特征的高分辨率遥感影像道路提取

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摘要

In this paper, an automated road extraction from high-resolution remote sensing images method based on road synthetical characteristics is presented. First, spectral property, geometric property and textural property of road class have been considered and a road clustering model has been established. Second, mathematical morphology has been applied to extract road centerlines. Experiments prove that the model of this paper could describe the features of road well and accurately identify the road class from high-resolution remote sensing images.
机译：提出了一种基于道路综合特征的高分辨率遥感影像道路自动提取方法。首先，考虑了道路等级的光谱特性，几何特性和纹理特性，并建立了道路聚类模型。第二，数学形态学已应用于提取道路中心线。实验证明，该模型能够很好地描述道路特征，并能从高分辨率遥感图像中准确识别出道路类别。

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