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A Method of Automatic Recognition of Airport in Complex Environment from Remote Sensing Image

机译:一种自动识别机场在遥感图像中复杂环境中的机场

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In this paper, a new method is proposed for airport recognition in complex environments. The algorithm takes all advantages of essential characteristics of the airport target. Structural characteristics of the airport are used to establish assumption process. Improved Hough transformation (HT) is used to check out those right straight-lines which stand for actual position and direction of runways. Morphological processing is used to remove road segments and isolated points. Finally, we combine these segments carefully to describe the whole airport area, and then our automatic recognition of airport target is realized.
机译:本文提出了一种在复杂环境中的机场识别的新方法。该算法采用机场目标的基本特征的所有优点。机场的结构特征用于建立假设过程。改进的Hough变换(HT)用于检查那些适用于实际位置和跑道方向的正确直线。形态学处理用于去除道路段和孤立点。最后,我们仔细结合了这些细分,以描述整个机场地区,然后我们实现了自动识别机场目标。

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