• Infrared and Laser Engineering
  • Vol. 50, Issue 7, 20210162 (2021)
Jingjing Guo1、2, Xiaoyan Fei3, Peng Ge1、2、*, Anran Zhou1、2, Lei Wang1、2, Zhengqi Li1、2, and Lei Sheng1、2
Author Affiliations
  • 1The 38th Research Institute of China Electronics Technology Group Corporation, Hefei 230088, China
  • 2Key Laboratory of Aperture Array and Space Application, Hefei 230088, China
  • 3No. 93209, People’s Liberation Army of China, China
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    DOI: 10.3788/IRLA20210162 Cite this Article
    Jingjing Guo, Xiaoyan Fei, Peng Ge, Anran Zhou, Lei Wang, Zhengqi Li, Lei Sheng. High-resolution three-dimensional imaging based on all-fiber photon-counting Lidar system[J]. Infrared and Laser Engineering, 2021, 50(7): 20210162 Copy Citation Text show less
    Block diagram of photon-counting Lidar system
    Fig. 1. Block diagram of photon-counting Lidar system
    Sub-pixel scanning method
    Fig. 2. Sub-pixel scanning method
    Beam reflection by a mirror
    Fig. 3. Beam reflection by a mirror
    Geometry distortion caused by a swing mirror
    Fig. 4. Geometry distortion caused by a swing mirror
    Design of the rotation platform
    Fig. 5. Design of the rotation platform
    [in Chinese]
    Fig. 6. [in Chinese]
    Intensity image of the bottom of the poly. (a) Photo of the target taken by a visible-band camera; (b) Noise threshold b = 2.5 Eyb; (c) Self-adaptive noise threshold; (d) Noise censoring results
    Fig. 6. Intensity image of the bottom of the poly. (a) Photo of the target taken by a visible-band camera; (b) Noise threshold b = 2.5 Eyb; (c) Self-adaptive noise threshold; (d) Noise censoring results
    Image reconstruction of the poly. (a) Intensity image; (b) Range image; (c) 3D point cloud reconstruction
    Fig. 7. Image reconstruction of the poly. (a) Intensity image; (b) Range image; (c) 3D point cloud reconstruction
    Photo of the target scene taken by a visible-band camera
    Fig. 8. Photo of the target scene taken by a visible-band camera
    Multi-range image reconstruction results. (a) Intensity image E1; (b) Intensity image E2; (c) Depth imageL1; (d) Depth Estimation L2
    Fig. 9. Multi-range image reconstruction results. (a) Intensity image E1; (b) Intensity image E2; (c) Depth imageL1; (d) Depth Estimation L2
    3D point cloud reconstruction. (a) Multi-range object reconstruction; (b) Enlarged image of the building 3.1 km away; (c) Enlarged image of the cables 1.1 km away
    Fig. 10. 3D point cloud reconstruction. (a) Multi-range object reconstruction; (b) Enlarged image of the building 3.1 km away; (c) Enlarged image of the cables 1.1 km away
    DevicesParametersValue
    LaserWavelength/nm1064
    Pulse repetition frequency/kHz40
    Peak energy/μJ6
    Pulse width/ns5
    Emitting collimatorFocus length/mm80
    Receiving telescopeDiameter/mm20.5
    Focus length/mm40
    FiberFiber diameter/μm9/125
    FilterBand width/nm1
    SPADDark count/cps100
    Dead time/ns22
    Detection efficiency2%@1064 nm
    Table 1. Key parameters of the optical system
    Jingjing Guo, Xiaoyan Fei, Peng Ge, Anran Zhou, Lei Wang, Zhengqi Li, Lei Sheng. High-resolution three-dimensional imaging based on all-fiber photon-counting Lidar system[J]. Infrared and Laser Engineering, 2021, 50(7): 20210162
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