Calibration technology for low background infrared radiation sources 低背景红外(LBIR)辐射源校准技术
In target tracking of infrared imaging guidance, the target has the characteristics of low signal-noise ratio ( SNR ), serious background and noise interference. The authors presented a small-target detection / identification algorithm of infrared gray images based on mathematical morphology. 针对红外成像制导跟踪的目标具有低信噪比、且背景和噪声干扰信息严重的特点,设计了一种基于数学形态学的红外灰度图像小目标检测识别算法。
The simulation and experiments results show that the presented method can detect the low SNR targets with strong clutter background, improve the ability of parallel compute and process the large area scanning and staring infrared image sequence. 对比分析说明子窗口检测门限算法具有较好的效果,并且可以提高并行计算能力,适合应用于强杂波背景下大面积扫描或凝视红外图像序列的处理。