摘要
针对复杂环境下的军用机场遥感图像,提出了一种新的跑道识别算法。该方法提出构造基于边缘模式的图像灰度直方图,自动确定初始图像分割阈值并二值化图像;用Hough变换确定跑道位置与方向,利用军用机场的结构特征确定跑道的水平、垂直起始位置,并进一步标识。实验证明该方法稳健可行。
This paper develops a new method to recognize airport runway in order to deal with remote sensing of military airport in complex environment. Firstly, histograms of edge model are established to automatically ascertain the thresholds of image segmentation and subsequently create binary images. Secondly, Hough transformation is used to ascertain the position and direction of the runway. Thirdly, the structural characteristics of military airports are used to establish the horizontal and vertical starting points of the runway. After the above processes, the runway is able to be marked in the image. Experiments have shown that this approach can successfully accomplish runway recognition tasks even in complex environment.
出处
《遥感信息》
CSCD
2008年第2期31-34,共4页
Remote Sensing Information
作者简介
郭立斌（1974-），男，湖南人，中南大学信息科学与工程学院硕士研究生，主要研究方向数字图像处理。E-mail：glb_2005@126．com
