【摘要】 传统的采样系统对点目标的能量收集能力差,图像信噪比低,像斑面积小。为了克服传统采样的缺点,在对弱点目标进行探测时可以采用双向过采样技术。建立了点目标采样系统的数学模型,分析了双向过采样系统对点目标的检测性能。通过点目标采样系统的数学模型,得到了双向过采样系统点目标像斑分布均匀、灰度梯度小、有一定的面积的特点。从而设计出针对双向过采样系统的点目标检出方法。采样模型得到的像斑能量分布表明,双向过采样系统对点目标的能量收集能力强,点目标像斑面积大,信噪比稳定,采样系统对点目标的空间相对位置有很强的适应能力。仿真分析表明,目标检出方法能够有效提高点目标图像的信噪比。更多还原

【Abstract】 The traditional sampling system is not able to collect the energy of point target effectively,which leads to low SNR of the image and small image spot. To solve these problems,the bidirectional over-sampling system was used to detect weak point target. The model of point target sampling system was built,and the detecting ability of bidirectional over-sampling system for point target was analyzed. According to the model of point target sampling system,the distribution of the obtained point target on the image is uniform,the gray gradient is small,and point target has a certain area. The energy distribution of the target obtained by the sampling model shows that the bidirectional over-sampling system is able to collect the energy of point target effectively,the SNR is stable,and the area of target is larger. The sampling system has strong adaptability to the relative position of the point target. The simulation result shows that detection method can effectively improve the SNR of the point target image.更多还原