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在红外探测器中,高频非均匀性主要表现为列或者行条纹,而低频非均匀性则主要表现为片状。在实际应用中,场景是沿着一个单调方向,并且有不同的非均匀性出现。基于这样的考虑,提出了一个基于场景的非均匀性校正技术,不仅符合上述校正要求,而且也实现了小型化、低功耗的实时硬件系统。通过为配准原则开发一种新的投影估计来解决问题,同时在硬件系统上实现了这一技术。通过评价标准测试了这项技术的性能,展示了在单调运动下系统非均匀性校正的实际效果。实验结果表明:该算法具有校正精度高、收敛速度快的优点。
In the infrared detector, high-frequency non-uniformity mainly as a column or row stripes, while the low-frequency non-uniformity is mainly manifested as flaky. In practice, the scene is in a monotonous direction with different inhomogeneities. Based on this consideration, a scene-based non-uniformity correction technique is proposed, which not only meets the above correction requirements but also realizes a miniaturized and low-power real-time hardware system. Solve the problem by developing a new projection estimate for the registration principle, and implement this technique on the hardware system. The performance of this technique was tested by evaluation criteria, demonstrating the practical effect of non-uniformity correction of the system under monotonic motion. Experimental results show that the proposed algorithm has the advantages of high precision and fast convergence.