• Acta Optica Sinica
  • Vol. 38, Issue 12, 1228001 (2018)
Xiaoshi Mi1、2、*, Hui Zhao1、*, Xuewu Fan1, and Lizhi Sheng1
Author Affiliations
  • 1 Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, Shaanxi 710119, China
  • 2 University of Chinese Academy of Sciences, Beijing 100049, China
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    DOI: 10.3788/AOS201838.1228001 Cite this Article Set citation alerts
    Xiaoshi Mi, Hui Zhao, Xuewu Fan, Lizhi Sheng. Photon-Counting Laser Altimetry Based on Microchannel Plate[J]. Acta Optica Sinica, 2018, 38(12): 1228001 Copy Citation Text show less
    Signal count reduction factor of different detectors
    Fig. 1. Signal count reduction factor of different detectors
    Relationship between signal-to-noise ratio and albedo
    Fig. 2. Relationship between signal-to-noise ratio and albedo
    Echo pulse waveform
    Fig. 3. Echo pulse waveform
    Background noise distribution
    Fig. 4. Background noise distribution
    Probability distribution of errors at different detection rates
    Fig. 5. Probability distribution of errors at different detection rates
    Relationship between system error and detection rate
    Fig. 6. Relationship between system error and detection rate
    Relationship between different parameters and detection rate. (a) Relationship between FWHM and detection rate; (b) relationship between peak detection rate and detection rate; (c) relationship between detection rate and the product of peak height and FWHM
    Fig. 7. Relationship between different parameters and detection rate. (a) Relationship between FWHM and detection rate; (b) relationship between peak detection rate and detection rate; (c) relationship between detection rate and the product of peak height and FWHM
    Input topography model
    Fig. 8. Input topography model
    Point clouds of event. (a) Δz=0.1 m; (b) Δz=0.2 m; (c) Δz=0.3 m; (d) Δz=0.39 m
    Fig. 9. Point clouds of event. (a) Δz=0.1 m; (b) Δz=0.2 m; (c) Δz=0.3 m; (d) Δz=0.39 m
    Output topography model
    Fig. 10. Output topography model
    Histogram of output topography
    Fig. 11. Histogram of output topography
    Remote sensing image of ground object model
    Fig. 12. Remote sensing image of ground object model
    Topography model after optimizing
    Fig. 13. Topography model after optimizing
    Topography histogram after optimizing
    Fig. 14. Topography histogram after optimizing
    ParameterValue
    Laser wavelength /nm532
    Spot diameter /m10
    Pulse duration /ns1
    Repetition rate /kHz10
    Repetition period (30 km) /ms0.1
    Peak laser power /mJ250-900
    Orbital height /km600
    Step /m0.688
    Table 1. Performance parameters of ATLAS
    Atmosphere modelRadiance /(W·cm-2·μm-1·sr-1)Transmittance
    Albedo is 0Albedo is 1
    Tropical103.935×10-36.400×10-20.625
    Mid-latitude summer4.057×10-36.365×10-20.622
    Mid-latitude winter3.911×10-36.320×10-20.640
    Sub-arctic summer4.060×10-36.355×10-20.621
    Sub-arctic winter3.915×10-36.336×10-20.640
    US standard 19764.061×10-36.358×10-20.622
    Table 2. Influence of typical atmosphere model
    Detection rate /%Peak detection rate /%FWHM /cm
    100.2439.32
    501.2139.30
    802.0638.45
    902.4735.56
    993.2233.19
    99.93.6425.07
    Table 3. Peak detection rate and FWHM at different detection rates
    Xiaoshi Mi, Hui Zhao, Xuewu Fan, Lizhi Sheng. Photon-Counting Laser Altimetry Based on Microchannel Plate[J]. Acta Optica Sinica, 2018, 38(12): 1228001
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