一种新的空时域滤波小目标检测方法

为了提高红外图像序列中弱小目标的信噪比和检测概率,同时考虑检测算法实时性,提出了一种新的基于空时域滤波的小目标检测方法.首先,以第一帧图像为参考帧,对各帧图像进行运动补偿;然后,对运动补偿后的各帧图像在空域进行方差加权信息熵滤波,对空域滤波后图像采取双向隔帧差分的时域滤波;最后通过检测差分图像中的"凸包",抑制背景和噪声,检测小目标.文中给出了实验结果与分析,并与其他方法作了比较.实验结果表明,上述方法能大幅度的提高目标的信噪比,检测小目标,且实时性好.

Infrared Small Target Detection Based on Newly Spatial-Temporal Filtering

To improve the Signal-to-noise Ratio(SNR) and detecting probability of small target in infrared image sequences,a novel method of target detection based on spatial-temporal filtering is proposed.This method considered the real-time characteristic of the detecting algorithm.Firstly,the first frame was set as a reference frame and the other frames were compensated in motion.Secondly,the frames compensated were filtered by variance Weighted Information Entropy(Variance WIE) filter in spatial domain.After that,...