利用机场跑道的高灰度特征和整体性检测遥感图像中的机场跑道。首先，利用模糊增强方法进行图像预处理；接着，对图像进行阈值分割获得二值图像，用像素标记法进行连通域提取，定位4个面积最大的区域作为疑似机场区域；然后，在疑似机场区域内，对图像进行Canny边缘检测，用Hough变换提取出直线段；最后，把含有最长平行直线的区域作为机场区域。实验结果表明，机场跑道检测算法能在遥感图像中准确有效地检测出机场跑道。

The characteristics of high grey-scale and integrality of the airport runways are used for detecting them in remote sensing image.Firstly, the image was pre-processed by using fuzzy enhancement.Secondly, binary image was obtained though threshold segmentation, and pixel labeling method was used for connected area extraction, thus the largest four areas were chosen as suspected airport areas, which were then located.Then, within these four suspected airport areas, edges were detected on the image by using Canny edge detection operator, and straight line segments were extracted by using Hough transform.Finally, the area with the longest parallel lines was recognized as the airport area.Experimental results show that by using the airport runway detection algorithm, the airport runways in remote sensing image can be detected efficiently and accurately.