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高分辨率影像能够提供丰富的地表细节信息,从高分辨率遥感影像中进行高精度的道路提取是目前遥感信息处理的研究热点。分别以高分辨光学IKONOS影像和COSMO-Skymed SAR影像为数据源,对北京市某区域进行了道路信息自动提取方法的研究。高分辨率光学影像中采用最大似然分类进行道路信息提取,在SAR影像中则采用Otsu阈值分割和形态学结合的方法提取道路。结果表明,两种数据源中提取道路的面积一致性与形状一致性都具有较高精度,两种方法对城市道路提取与路网更新具有一定的应用价值。 更多还原

【Abstract】 High-resolution remote sensing images provide more detailed information about the earth’s surface than ever before.How to extract road from high resolution image accurately has become a hot topic in remote sensing image processing.In this paper,high resolution optical image IKONOS and SAR image COSMO-Skymed were taken as data sources for road extraction.Automated road information extraction in a certain district of Beijing was experimented.The main methods of extracting road information were max...