摘要
针对跑道信息在机场目标识别算法中的重要性,分析了子母弹在实施跑道封锁时对跑道端点信息的需求,给出了机场红外图像的灰度约束先验知识;针对传统R adon变换无法获取线段端点信息的特点,提出了一种新的基于灰度特征约束的R adon附加策略识别算法,对低对比度的红外图像进行了识别,仿真计算结果表明:该算法可以较为有效地获得准确的跑道中点和端点信息。
A new algorithm based on gray constraint accessional strategy is presented. We discuss the information of runway endpoints that the bomb dispenser need and give the prior knowledge of the gray constraints for the airfield targets in infrared image. Compared with the traditional Radon transform algorithm, the proposed algorithm is more effective to obtain the information of the midpoint and the endpoints of the runway. Experimental results demonstrate its effectiveness.
出处
《华东理工大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2006年第3期327-331,共5页
Journal of East China University of Science and Technology
基金
国家自然科学基金资助项目(60172037)
