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Proceedings Paper

Adaptive depth imaging method based on photon counting LIDAR
Author(s): Weiji He; Zhenchao Feng; Jie Lin; Shanshan Shen; Qian Chen; Guohua Gu; Beibei Zhou
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Paper 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.

Paper Details

Date Published: 10 February 2017
PDF: 5 pages
Proc. SPIE 10250, International Conference on Optical and Photonics Engineering (icOPEN 2016), 102501V (10 February 2017); doi: 10.1117/12.2266826
Show Author Affiliations
Weiji He, Nanjing Univ. of Science and Technology (China)
Zhenchao Feng, Nanjing Univ. of Science and Technology (China)
Jie Lin, Nanjing Univ. of Science and Technology (China)
Shanshan Shen, Nanjing Univ. of Science and Technology (China)
Qian Chen, Nanjing Univ. of Science and Technology (China)
Guohua Gu, Nanjing Univ. of Science and Technology (China)
Beibei Zhou, Nanjing Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 10250:
International Conference on Optical and Photonics Engineering (icOPEN 2016)
Anand Krishna Asundi; Xiyan Huang; Yi Xie, Editor(s)

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