摘要
A new algorithm of nonuniformity correction for infrared focal plane array(IRFPA) is reported,which is a combined algorithm based on both the two-point correction and artificial neural networks correction. The combined algorithm is calibrated by two-point correction,and the calibrated correction coefficients are automatically modified by BP algorithm. So it is not only calibrated,but also real-time processed. In adaptive nonuniformity correction algorithm,the phenomena ghost artifact and target fade-out are avoided by edge extraction. In order to get intensified image,the modified median filters are adopted. The simulated data indicates the proposed scheme is an effective algorithm.
A new algorithm of nonuniformity correction for infrared focal plane array（IRFPA） is reported, which is a combined algorithm based on both the two-point correction and artificial neural networks correction. The combined algorithm is calibrated by two-point correction, and the calibrated correction coefficients are automatically modified by BP algorithm. So it is not only calibrated, but also real-time processed. In adaptive nonuniformity correction algorithm, the phenomena ghost artifact and target fade-out are avoided by edge extraction. In order to get intensified image, the modified median filters are adopted. The simulated data indicates the proposed scheme is an effective algorithm.
