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机构地区:[1]南京理工大学近程高速目标探测技术国防重点学科实验室,江苏南京210094
出 处:《红外与激光工程》2012年第8期2178-2184,共7页Infrared and Laser Engineering
基 金:江苏省自然科学基金(SBK201123473)
摘 要:为了能在外场对红外跟踪测量系统的脱靶量误差进行快速的检测修正,分析了脱靶量误差的主要来源,并建立了脱靶量误差的数学模型;根据这一模型,提出了一种基于场景的脱靶量误差系数的计算方法;该计算方法引入了SIFT特征点的提取算法和基于多假设跟踪的航迹管理算法,通过目标函数的最优化得到误差系数的最优估计,最终对脱靶量误差进行了修正。实验结果表明,该方法能有效地修正红外跟踪测量系统脱靶量的系统误差。In order to detect and correct the miss distance system error of infrared tracking and measuring system outside the field rapidly, the origin of miss distance error was analyzed, and the mathematical model of this error was established; due to the mathematical model, a scene-based method of calculating the miss distance error coefficients was proposed. In this method, the SIFT feature points detecting method and a multiple hypothesis tracking-based track management algorithm were introduced. The best estimated error coefficient was got by optimizing the objective function. The miss distance error was corrected finally. Experimental results show that the proposed method is effective to correct the miss distance system error for the infrared tracking and measuring system.
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