论文部分内容阅读
高阶累积量由于可以抵抗高斯噪声的影响而被广泛地应用于信号处理的各个领域。针对复杂云背景下单帧红外图像弱小目标检测的问题,与传统的时空管道滤波方法不同,通过建立合理的数据模型,在抑制缓变背景和噪声的同时,结合小目标局部范围内突变的特点,三阶累积量的计算使得目标在单帧全局检测可检的信噪比达到了1.66。
High-order cumulants are widely used in various fields of signal processing because they can resist the influence of Gaussian noise. Aiming at the problem of weak target detection in single-frame infrared image under complex cloud background, different from the traditional space-time pipeline filtering method, a reasonable data model is proposed to suppress the slow background and noise while combining with the characteristics of sudden change in local area The calculation of the third-order cumulant makes the target achievable signal-to-noise ratio of 1.66 in single-frame global detection.