Acta Optica Sinica, Volume. 33, Issue 8, 811003(2013)
Dynamic Imaging Detection and Target Recognition for Cat-Eye Effect Echo
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.
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Wu Dongsheng, Bai Tingzhu, Liu Bingqi, Zhou Bin, Hu Wengang. Dynamic Imaging Detection and Target Recognition for Cat-Eye Effect Echo[J]. Acta Optica Sinica, 2013, 33(8): 811003
Category: Imaging Systems
Received: Feb. 5, 2013
Accepted: --
Published Online: Jul. 9, 2013
The Author Email: Dongsheng Wu (wds116@aliyun.com)