一种复杂环境下的跑道识别的新方法  

A Novel Approach of Runway Recognition in Complex Environment

作　　者：李滔[1] 王俊普[1] 吴秀清[2] 王鹏伟[2] 

机构地区：[1]中国科技大学自动化系,合肥230027 [2]中国科技大学电子工程与信息科学系,合肥230027

出　　处：《计算机工程》2006年第10期164-166,共3页Computer Engineering

基　　金：国家"863"计划基金资助项目(2002AA783055)

摘　　要：针对机场在遥感图像中成像的复杂性与多样性,提出了一种新的机场跑道的自动识别方法。该方法将跑道识别分为定位和识别两个步骤:首先在定位步骤中基于变形模板模型理论,建立了跑道的平行线模型及似然函数,并采用Meropolis算法确定跑道的准确边界;其次,通过分析跑道的标志特征和结构特征确立了跑道识别的通用性判别规则。通过对Spot图像的实验证明,该方法能够实现复杂环境下的跑道自动识别。A novel recognition approach of runway is proposed aimed al the complexity and variety of airport images. First, a parallel edges model and corresponding likelihood tfunction are proposed and Metropolis algorithm is used to accurately localize the edge of runways. Furthermore, effectively identification rules which analyze both structural and mark features of runways are used in this approach. The results of experiments on spot satellite images show that this approach can successfully accomplish runway recognition tasks even in complex environment.

关 键 词：计算机图像处理 遥感图像 跑道 变形模板 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]