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Application Of High-Resolution Remote Sensing Images In Road Extraction

机译:高分辨率遥感图像在道路提取中的应用

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High-resolution remote sensing images includes high spectral resolution remote sensing images, high spatial resolution remote sensing images, high temporal resolution remote sensing images and so on. Based on the physical properties and functions, there are six road features: spectral feature, textural feature, geometric feature, topological feature, contextual feature and multi-scale feature, which have more information and research value in high-resolution remote sensing images. Starting from these features, the road extraction methods are analyzed and classified, then, the evaluation method and indicators for road extraction are introduced, the difficulties of road extraction from high-resolution remote sensing images are analyzed, and the trend of the research field is forecast in the end.
机译:高分辨率遥感图像包括高光谱分辨率遥感图像,高空间分辨率遥感图像,高时间分辨率遥感图像等。基于物理性质和功能,有六个道路特征:谱特征,纹理特征,几何特征,拓扑特征,上下文特征和多尺度特征,具有更多的信息和高分辨率遥感图像的研究价值。从这些特征开始,分析和分类道路提取方法,介绍了道路提取的评价方法和指标,分析了高分辨率遥感图像的道路提取困难,研究领域的趋势是预测到最终。

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