Infrared and Laser Engineering, Volume. 49, Issue S2, 20200388(2020)
Research on Gm-APD 3D range image preprocessing method based on double Gaussian variance optimization
The target detection probability and target reduction degree of the three-dimensional reconstruction algorithm of Geiger mode Avalanche Photo Diode(Gm-APD) laser imaging radar are greatly affected by the preprocessing. Improper preprocessing will cause the target to be missing and reduce the signal-to-noise ratio. Preprocessing usually uses Gaussian function or double Gaussian function for convolution, and improper variance in the filter function will also lead to lower target restoration. To improve this problem, the influence of the double Gaussian function preprocessing variance combination on the detection probability was analyzed. Then, Monte Carlo simulation was used to analyze the best variance combination varies in different background noise under fixed laser energy and frame number. The best variance model was obtained by fitting. Finally,reality experiment was used for verification, and the best variance combination obtained by the variance model can reach more than 90% of the best target reduction degree of actual reality. This model has theoretical guidance for actual signal processing.
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Ma Le1, Lu Wei, Jiang Peng, Sun Jianfeng, Zhou Xin, Liu Di. Research on Gm-APD 3D range image preprocessing method based on double Gaussian variance optimization[J]. Infrared and Laser Engineering, 2020, 49(S2): 20200388
Category: 激光器与激光光学
Received: Nov. 14, 2020
Accepted: Nov. 14, 2020
Published Online: Feb. 5, 2021
The Author Email: Le1 Ma (19B921021@stu.hit.edu.cn)