为实现复杂背景下猫眼效应回波的动态成像探测与目标识别，根据猫眼效应回波、背景及噪声的成像特点，构建了成像探测系统，探讨了目标的探测方法，提出了激光照射与成像探测工作时序同步调制、视场同步控制的探测模式。在此基础上对目标的识别算法进行了研究，运用帧间差分法实现对背景干扰的滤除，提出区域灰阶平均法实现对噪声的有效抑制，通过自适应的目标判别与识别阈值完成对目标的识别。利用搭建的实验系统对500 m和2500 m目标进行了探测，结果表明，在2500 m的探测距离内，利用成像探测方法和目标识别算法，得到虚警概率为0.3×10-12，探测概率为1，从而消除了背景和噪声对目标识别过程的影响。

In order to realize dynamic imaging detection and target recognition for cat-eye effect echo in complex background，the imaging detection system is constructed and the detection methods are discussed according to the imaging characteristics of the cat-eye effect echo, background and noises. The detection mode is proposed that the timing is modulated synchronously and the field of view is controlled synchronously for the laser irradiation and imaging detection. Based on it, the target recognition algorithm is researched. The background interference can be removed by the method of frame difference. The method of regional grayscale average is put forward to suppress noises. The target can be recognized through adaptive thresholds of target discrimination and recognition. The detection experiments for 500 m and 2500 m targets are carried out with built imaging detection system. The results show that, utilizing imaging detection method and target recognition algorithm, the false alarm probability is 0.3×10-12 and the detection probability is one in the detection distance of 2500 m, which eliminates the effect of background and noise in target recognition process.