基于场景的红外探测器非均匀性校正方法的分析  

Analysis of Scene-based Non-uniformity Correction for IRFPA

作　　者：许慧慧[1] 张桂林[1] 姜瑾[1] 

机构地区：[1]华中科技大学图像处理与人工智能研究所,武汉430074

出　　处：《计算机与数字工程》2007年第9期27-29,共3页Computer & Digital Engineering

摘　　要：红外探测器中的非均匀性校正是红外成像系统中关键问题。介绍时域高通滤波法、恒定统计法和kalman滤波器法三种基于场景的非均匀性校正算法,通过利用图像序列并依赖帧间运动对焦平面阵列的非均匀行进行校正,并与两点法比较,分析三种方法的优缺点。The non-uniformity correction in the infrared focal plane is the key in infrared imaging system. In this article, it introduces three scene-based approaches, including temporal high filtering, constant static correction and Kalman filtering correction, which used image sequence and dependent on motion between frames. Meanwhile, these algorithms were compared with two-temperature calibration.

关 键 词：非均匀性校正 时域高通滤波法 恒定统计法 Kalman滤波器法 红外焦平面 

分 类 号：TP732.2[自动化与计算机技术—检测技术与自动化装置]