For the infrared dim small target detection in complex cloud background of IRST, a robust algorithm of low false alarm is proposed.
针对红外搜索跟踪系统对复杂云层背景条件下红外弱小目标检测问题,提出了一种低虚警率的弱小目标稳健检测算法。
Based on the least square method and main elements analysis, this paper proposed a robust algorithm to repair the lost and distortion data.
本文基于最小二乘方法和主成分估计思想,构造了一种丢失数据的稳健修复算法,并可对失真数据予以修正。
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