递推混合最小二乘在红外焦平面阵列非均匀校正中的应用

基于递推最小二乘(RLS)的红外焦平面阵列非均匀校正算法具有计算量和存储量小等优点,易于工程实现.但RLS并不完全满足实际问题模型的要求,因此拟合出的噪声参数存在严重偏差.提出了一种利用递推混合最小二乘(RMLS)替代RLS进行非均匀校正的算法,它不但具有原方法的各种优点,而且由于符合问题模型的基本特征,因此在拟合精度和收敛速度方面都优于RLS.文中实验结果也验证了该方法的有效性.

APPLICATION OF RECURSIVE MIXED LEAST SQUARES TO NONUNIFORMITY CORRECTION IN INFRARED FOCAL PLANE ARRAYS

The advantage of nonuniformily correction algorithm based on recursive least squares(RLS) in IRFPA lies in its low computational complexity and memory, requirements, which makes it easy to meet the need of projects. However, RLS is not suitable for the real algorithmic model completely since the noise parameter fitted in RLS exists severe deviations. Thus, a novel nonuniformity correction algorithm based on reeursive mixed least squares (RMLS) was developed. In this new algorithm, RLS was substituted by RMLS for monuniformity correction. This proposed algorithm not only has all the ad- vantages of RLS, but also gets more excellent results in estimation precision and convergent speed. The experimental results also demonstrate the effectiveness of the algorithm.