An Adaptive Method Based on BP Neural Network for Non-uniformity Correction in Infrared Focal Plane Arrays
基于BP神经网络的IRFPA改进型非均匀性校正算法

A non-uniformity correction algorithm based on neural network for infrared focal plane arrays (IRFPA) is proposed. Firstly, a normalized idea is used to process an image so as to choose a proper interactive step. Then, the structure of the hidden layer is optimized to obtain the desired signal more close to the real signal. The experimental result shows that the proposed method is better than the traditional neural network correction algorithm in correction precision, convergence rate and stability.