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A Fast Algorithm for Road Recognition in Remote Sensing Image

机译:遥感图像中的道路识别快速算法

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摘要

In general, the road extraction methods in remote sensing images mainly are edge detection, feature integration, and so on. A fast road recognition arithmetic is presented in this paper. First using adaptive binarization arithmetic, the path on remote sensing images is extracted. Then morphological method is used to process image. Finally, the extracted image superimposed with the original and get clear road. Simulation results shows that this algorithm is efficiency, the anti-noise ability is enhance, and more precision.
机译:通常,遥感图像中的道路提取方法主要是边缘检测,功能集成等。本文提出了一种快速的道路识别算法。首先使用自适应二值化算法,提取遥感图像上的路径。然后使用形态学方法来处理图像。最后,提取的图像叠加着原件并获得清晰的道路。仿真结果表明,该算法是效率,抗噪声能力增强,更精确。

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