论文部分内容阅读
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500m和2500m目标进行了探测,结果表明,在2500m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 of cat-eye echoes under complex background, an imaging detection system was constructed based on the characteristics of cat-eye echo, background and noise imaging. The detection methods of the target were discussed, and the laser irradiation and imaging detection Working timing synchronous modulation, field of view synchronization control of the detection mode. On this basis, the target recognition algorithm is studied, and the inter-frame difference method is used to filter the background interference. The regional average gray-scale method is proposed to effectively suppress the noise. By adaptive target recognition and recognition threshold, Target recognition. The 500m and 2500m targets were detected by using the experimental system. The results show that the probability of false alarm is 0.3 × 10-12 and the detection probability is 1 using the imaging detection method and target recognition algorithm within the detection range of 2500m Eliminates the impact of background and noise on the target recognition process.