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Kalman-Filtering红外焦平面非均匀性仿真研究
Nonuniformity Simulation of Infrared Focal Plane Arrays Based on Kalman-filtering
【摘要】 非均匀性红外图像的仿真技术,在非均匀性校正技术的研究中起着十分重要的作用。针对红外探测器的响应参数符合高斯—马尔可夫(Gauss-Markov)过程,引入一个线性响应模型,建立了状态方程和观测方程,进而在一定的初始条件下,使用卡尔曼滤波(Kalman-Filtering)的方法,完成了红外图像的仿真计算。仿真的红外图像经过理论分析,效果很理想。
【Abstract】 The nonuniformity simulation(NUS) in infrared focal-plane arrays is a very important part in the study of nonuniformity correction techniques.The gain and offset factors of each detector in infrared focal plane arrays(IRFPA) are regarded as random state variables modeled by a discrete-time Gauss-Markov process.With a linear model for every detector’s gain and offset,the state equations and observation equations are given.The infrared image with simulated nonuniformity relies on the initial conditions in the data,which is necessary for the Kalman-filtering algorithm.Theoretical analysis of the simulated infrared images shows that the performance is desirable.
【Key words】 nonuniformity correction; Infrared Focal Plane Arrays(IRFPA); Kalman-Filtering;
- 【文献出处】 电子科技 ,Electronic Science and Technology , 编辑部邮箱 ,2009年03期
- 【分类号】TN215
- 【下载频次】114