强噪声与突变干扰下的紫外图像中导弹目标的提取

Extracting Missile Targets in Ultraviolet Image with Strong Noise and Burst Interference

为了抑制紫外图像处理中紫外CCD(电荷耦合装置)传感器和高增益放大器的强噪声和突发干扰,在不改变现有紫外CCD传感器硬件结构的前提下,提出了一种紫外图像序列的三维递归滤波算法.该算法由二维IIR(递归)空间滤波器和一维时间IIR滤波器级联构成.所提出的三维递归滤波算法计算量小,稳定,且可清晰地提取导弹目标,实现快速实时的紫外图像序列滤波.提供了二维IIR空间滤波器和一维时间IIR滤波器的稳定性检验算法.仿真实验验证了所提的三维滤波算法是正确,有效而实用的.

A knotty problem in ultraviolet （UV） images processing is how to cancel the strong noise and burst interferences coming from UV CCD sensors and high gain amplifiers. The strong noise and burst interferences will influence detecting the missile targets in the UV images effectively. To solve the problem, without changing the existing UV CCD sensors, this paper develops a 3-D recursive filter for UV image sequences based on a 3-D IIR filter, which is stable and it extracts the faint targets fast and clearly. The proposed 3-D IIR filtering algorithm composes of a 2-D IIR spatial filter and 1-D IIR time filter. The proposed 3-D IIR filtering algorithm is of less computation amount for UV image sequences and it can realize fast or real-time filtering for UV images. The stability test algorithms for the 2-D spatial IIR and 1-D time IIR are provided. Simulation experiments of UV image processing verify that the proposed 3-D IIR filter and related algorithms are correct, effective and pragmatical.