Depth imaging through realistic fog using Gm-APD Lidar

Yinbo Zhang; Sining Li; Peng Jiang; Jianfeng Sun; Di Liu; Xianhui Yang; Xin Zhang; Hailong Zhang

doi:10.1117/12.2601815

31 August 2021 Depth imaging through realistic fog using Gm-APD Lidar

Yinbo Zhang, Sining Li, Peng Jiang, Jianfeng Sun, Di Liu, Xianhui Yang, Xin Zhang, Hailong Zhang

Proceedings Volume 11907, Sixteenth National Conference on Laser Technology and Optoelectronics; 119070N (2021) https://doi.org/10.1117/12.2601815
Event: Sixteenth National Conference on Laser Technology and Optoelectronics, 2021, Shanghai, China

Abstract

When using Gm-APD Lidar for depth imaging through realistic fog, the echo signal of the target is submerged in the background noise due to the strong absorption and scattering characteristics of the fog particles, resulting in serious defect of the recovered depth image of the target. To solve this problem, this paper proposes a dual-parameter estimation algorithm based on continuous wavelet transform (CWT) and maximum likelihood estimation (MLE) to improve the accuracy of fog signal estimation. Then the target and the fog signal are separated by estimating the fog signal of each pixel. Finally, the depth image of the separated target is processed by cross pixel complement and median filtering algorithms to improve the integrity of the target image. The experimental results show that, compared with the traditional algorithm, the target recovery of the reconstructed image is improved by 0.337, and the relative average ranging error is reduced by 0.3897. This research improves the weather adaptability of Gm-APD Lidar.

Citation Download Citation

Yinbo Zhang, Sining Li, Peng Jiang, Jianfeng Sun, Di Liu, Xianhui Yang, Xin Zhang, and Hailong Zhang "Depth imaging through realistic fog using Gm-APD Lidar", Proc. SPIE 11907, Sixteenth National Conference on Laser Technology and Optoelectronics, 119070N (31 August 2021); https://doi.org/10.1117/12.2601815

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