Adaptive depth imaging method based on photon counting LIDAR

Weiji He; Zhenchao Feng; Jie Lin; Shanshan Shen; Qian Chen; Guohua Gu; Beibei Zhou

doi:10.1117/12.2266826

10 February 2017 Adaptive depth imaging method based on photon counting LIDAR

Weiji He, Zhenchao Feng, Jie Lin, Shanshan Shen, Qian Chen, Guohua Gu, Beibei Zhou

Proceedings Volume 10250, International Conference on Optical and Photonics Engineering (icOPEN 2016); 102501V (2017) https://doi.org/10.1117/12.2266826
Event: Fourth International Conference on Optical and Photonics Engineering, 2016, Chengdu, China

Abstract

For an unknown characteristic target scene, the laser radar system that uses single-photon detector cannot directly estimate the dwell time of every pixel. Therefore, as the difference of target reflectivity, depth estimation appears inadequate sampling or redundant sampling in the conventional imaging method of maximum likelihood estimation (MLE-CIM). In this work, an adaptive depth imaging method (ADIM) is presented. ADIM is capable to obtain the depth estimation of target and adaptively decide the dwell time of each pixel. The experimental results reveal that ADIM can accurately obtain the 3D depth image of target even at the condition of low signal-to-noise ratio.

Citation Download Citation

Weiji He, Zhenchao Feng, Jie Lin, Shanshan Shen, Qian Chen, Guohua Gu, and Beibei Zhou "Adaptive depth imaging method based on photon counting LIDAR", Proc. SPIE 10250, International Conference on Optical and Photonics Engineering (icOPEN 2016), 102501V (10 February 2017); https://doi.org/10.1117/12.2266826

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