Huo Lijun, Zhou Dabiao, Wang Dejiang, Liu Rang, He Bin
Appl Opt. 2016 Sep 1;55(25):7149-56. doi: 10.1364/AO.55.007149.
Focal-plane arrays (FPAs) are often interfered by heavy fixed-pattern noise, which severely degrades the detection rate and increases the false alarms in airborne point target detection systems. Thus, high-precision nonuniformity correction is an essential preprocessing step. In this paper, a new nonuniformity correction method is proposed based on a staircase scene. This correction method can compensate for the nonlinear response of the detector and calibrate the entire optical system with computational efficiency and implementation simplicity. Then, a proof-of-concept point target detection system is established with a long-wave Sofradir FPA. Finally, the local standard deviation of the corrected image and the signal-to-clutter ratio of the Airy disk of a Boeing B738 are measured to evaluate the performance of the proposed nonuniformity correction method. Our experimental results demonstrate that the proposed correction method achieves high-quality corrections.
焦平面阵列（FPA）经常受到严重的固定图案噪声干扰，这在机载点目标检测系统中会严重降低检测率并增加误报。因此，高精度的非均匀性校正是必不可少的预处理步骤。本文提出了一种基于阶梯场景的新型非均匀性校正方法。这种校正方法可以补偿探测器的非线性响应，并以计算效率高和实现简单的方式校准整个光学系统。然后，使用长波Sofradir FPA建立了一个概念验证点目标检测系统。最后，测量校正后图像的局部标准差和波音B738艾里斑的信杂比，以评估所提出的非均匀性校正方法的性能。我们的实验结果表明，所提出的校正方法实现了高质量的校正。
