基于扫描型红外热像仪非均匀性场景校正算法的实现

Implementation of scene-based non-uniformity correction algorithm in scanning infrared camera

通过对某扫描型手持红外热像仪非均匀性的分析,建立了相应的非均匀性数学模型,提出了场景校正算法并在DSP中编程实现。算法采用运动估计与递归最小二乘法相结合的方式,实现了对空间非均匀性的实时校正;采用神经网络与最小均方算法结合的方式实现了对两点校正后残留非线性非均匀性的实时补偿。应用效果表明该算法具有很高的工程价值。

The article analyzes the non-uniformity of scanning infrared camera, constructs corresponding non-uniformity mathematical model, offers a scene-based non-uniformity correction method and implement it by programming on DSP. The method combines movement estimation with recursion least two multiplication to implement real-time space non-u- niformity correction. It also combines neural network with least-mean-square to implement real-time compensation of non-linear non-uniformity after two-point correction. The practical results show that the algorithm is valuable in engi- neering application.