一种适用于红外搜索跟踪系统的实时非均匀性校正算法

针对目前红外搜索系统实用性较强的两点非均匀性校正存在难以实时跟踪图像非均匀的不足点, 提出一种新的基于两点非均匀性校正和基于场景的实时联合校正算法。该算法利用两点校正提供基础校正系数, 并充分利用红外搜索系统大数据量的特点, 对实时数据量进行统计、分析, 进而找出系统非均匀性随时间的漂移量, 解决只采用两点校正算法带来的红外图像退化的问题。多次试验证明, 采用联合非均匀校正算法的相对非均匀度由两点校正的5%降到了2%左右, 并具有时间稳定性, 获得了较好的校正效果。

Abstract

Aiming at the problem that the current two-point non-uniformity correction method was difficult to track the non-uniformity of infrared image drift with time in infrared search and track system(IRST) real-timely, a novel real-time joint correction algorithm based on the improved two-points correction method and scenes was proposed. This algorithm uses the two-point method to get the basic correcting parameter, then analyzes mass real-time image data to find the values related to the system non-uniformity changing with time. The degradation of infrared image caused by two-point non-uniformity correction is solved and intensive tests validate that the relative non-uniformity decreases from 5% to 2% after using the joint correction method, it has good time stability and better correction effect.

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孔鹏, 侯民, 罗蓓蓓, 杨栋, 伊兴国, 刘万刚, 张卫. 一种适用于红外搜索跟踪系统的实时非均匀性校正算法[J]. 应用光学, 2014, 35(2): 327. KONG Peng, HOU Min, LUO Bei-bei, YANG Dong, YI Xing-guo, LIU Wan-gang, ZHANG Wei. Real-time non-uniformity correction algorithm for infrared search and track system[J]. Journal of Applied Optics, 2014, 35(2): 327.

一种适用于红外搜索跟踪系统的实时非均匀性校正算法

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