遥感图像中机场跑道自动检测方法研究

Automatic detection of airfield runways in sensing images

针对遥感图像中机场跑道区域比较狭长的特点,提出一种新的检测遥感图像中机场跑道的方法。跑道作为机场最显著的标志是由于它具有明显的直线特征和边缘特征,本文提出基于Hough变换的改进算法,采用直线支持区间的思想,将相位角的范围缩小到一个小的区域进行检测,大大减少了计算量。然后采用直线连接的方法将满足一定条件的、存在断点的线段连接,最后根据跑道特点,去除不相关的平行线,最终检测出机场跑道,实现了快速精确。

According to the characteristics of runway area that is relatively narrow in remote sensing images a new method to detect runway in remote sensing in ages was presented. Raceway is the most significant sign of airport because of its obvious line and edge features, which proposed an improved algorithm based on Hough transform. Using the idea of straight-line support range, the range of the phase angle is reduced to a small area to detect, which greatly reducing the amount of computation. Then, the line segments which satisfy certain conditions and have the breakpoints are connected based on the method of line connection. Finally, according to the characteristics of the raceway, the unrelated parallel lines are removed,the airport runway is figured out quickly and accurately.