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低信噪比（≤2）条件下的弱小点目标检测中关心的像素点是灰度奇异点，因为只有这些被常规算法设法消除的点才是可能的目标点。针对这种特殊情况的信号处理，建立了一种先跟踪后检测的方法（TBD），即在图像序列中检测各种可能的目标轨迹，以克服单帧图像中目标太弱的问题，并用仿真验证了单目标和多目标条件下的弱小点目标检测。
Weak point detection with low signal-to-noise ratio (≤2) The pixel of interest in gray-scale target detection is the gray-scale singularity, because only those points that are sought to be eliminated by conventional algorithms are possible target points. Aiming at this special case of signal processing, a method of pre-tracking detection (TBD) is established, which detects all possible target trajectories in the image sequence to overcome the problem of too weak target in single-frame image and simulates The single-target and multi-target conditions verify the weak point target detection.