摘要
提出了一种新的红外焦平面器件的自适应非均匀校正算法,它利用最小均方误差自适应算法获取探测器的初始校正系数,还可以跟踪探测器的漂移自动更新系数.该算法不同于传统两点定标的近似计算,它以足够精准的自适应系数来进行校正,同时不依赖于探测器响应稳定的前提,能够适应更为恶劣的条件,如有温度起伏以及其他时变干扰的环境.经本算法校正后系统图像信噪比可提高5 dB左右,在TMS320C6414数字信号处理器的硬件平台下能在8 s内收敛,且满足25帧/s的实时性要求.
A new adaptive algorithm for non-uniformity of infrared focal plane is present, in which LMS （least-mean-square） algorithm is used to obtain the initial coefficients for correction and the change of sensor is traded to renew its coefficients. The algorithm is different from traditional twopoint method as its coefficients are precise enough and it doesn＇t depend on the stabilization of sensor. So it is suitable for worse conditions, such as condition with variational temperature and other interference. As a result of the algorithm, the signal-to-noise ratio was increased by about 5 dB. On the platform of TMS320C6414 digital signal processor, it can converge in 8 seconds, and satisfy the realtime demand of 25 frames oer second.
出处
《华中科技大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2007年第3期19-21,共3页
Journal of Huazhong University of Science and Technology(Natural Science Edition)
关键词
红外图像
焦平面
非均匀性校正
自适应算法
收敛速度
infrared images
focal plane
non-uniformity correction
adaptive algorithm
convergence speed
