基于兴趣区检测的远距离机场目标识别研究

典型目标的检测识别是精确制导武器的关键技术之一，具有广泛的应用。根据远距离前视红外机场目标图像的特性，文章提出并实现了一种利用边缘线段群特征检测感兴趣机场目标区域，并进一步分割、识别潜在目标的新算法。仿真实验结果证实算法是合理、有效的。本文的算法结构简单、适应性广、适合于实时处理，具有广泛的应用前景。

Investigation of Airdrome Runway Based on Detection of Region of Interest

The detection and identification of typical targets is one of key techniques in precise guiding weapon systems and its application is often wide. In this paper, a new method of airdrome runway based on detection of region of interest is presented. Firstly the characteristic of airdrome runway in front-down infrared images is used to detect edge features, and interesting region is obtained. Secondly the potential target is segmented and recognized by the features of line segment and region. Lots of simulating experiments illustrate that our algorithm is reasonable and available. The structure of algorithm is simple and effective, and algorithm can is real-time implemented.