长线状特征下机场跑道检测方法

Airport runway detection based on long linear structure

为准确检测遥感图像中机场跑道区域,提出一种基于长线状特征的跑道识别方法。利用跑道在图像中的高对比度和整体的长直线特征,提取出潜在的跑道中心线。沿中心线各线点的法向扩展出有效边缘,并去除其中的小连通区域。对有效边缘进行Hough变换,提取满足机场约束条件的平行直线对。针对跑道建设标准中两端入口标志的高灰度值特点,沿提取所得平行线对的法向进行投影并搜索求出跑道两端。在混凝土跑道和沥青跑道上的检测效果表明,此方法能够有效去除复杂背景且具有较高的检测准确性。

To meet the needs of precise runway detection in remote sensing images,a method was proposed to extract the runway from airport based on its long linear structure.The potential center line was detected from remote sensing images,since the runway had high contrast and topological straight edge to the background.Using the points on the center line,latent runway-like edges can be found by extending pixels in the direction perpendicular to the line.Removing regions with small area,parallel lines can be identified by use of Hough transformation under certain constraint.As the standard for building airport was concerned,the threshold markings were high gray-level and broad enough,so the latent regions in the direction perpendicular to the parallel lines were projected and the peak to define the length of runway was searched.The results of concrete surface and pitch surface airport runway show that the method can remove complex background effectively and has high precision.