基于变换域特征的星空背景弱小目标检测算法

Dim point moving target detection based on transform domain feature algorithm

针对CCD光电序列探测图像中的弱小运动目标检测问题,提出了一种运动星空背景下的基于变换域特征的弱小目标检测算法。在变换域中以星点到参考恒星的变化距离为特征信息,根据恒星和目标的运动特性构建的相似性度量函数进行潜在目标点划分,通过轨迹关联最终完成弱小目标的检测。实验结果表明,该算法充分考虑了恒星、目标和噪声的灰度和运动特性,能有效的实现运动星空背景下的弱小目标检测。

For the dim point moving target detection of the CCD photoelectric image sequences, a new algorithm based on transform domain feature is proposed. The features are obtained from the changing in distance from all star points to reference stars in the transform domain. The fixed star and potential target can be divided by comparability measurement function with different motion characteristics. The target detection is finally realized by trajectory conjunction. It is shown that the algorithm can fully take into account the characteristics of the fixed star, dim point moving target and noise in gradation and motion, and can be used to effectively detect moving dim and small point target in moving background.