• Acta Optica Sinica
  • Vol. 41, Issue 9, 0911001 (2021)
Huiting Gao1、2、*, Shulong Bao1, Hua Liang1, and Fuxiang Huang3
Author Affiliations
  • 1Beijing Institute of Space Mechanics & Electricity, Beijing 100094, China;
  • 2Beijing Key Laboratory of Advanced Optical Remote Sensing Technology, Beijing 100094, China
  • 3National Satellite Meteorological Center, China Meteorological Administration, Beijing 100081, China
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    DOI: 10.3788/AOS202141.0911001 Cite this Article Set citation alerts
    Huiting Gao, Shulong Bao, Hua Liang, Fuxiang Huang. Filtering Algorithm for Nonlightning Events Using the FY-4 Lightning Mapping Imager[J]. Acta Optica Sinica, 2021, 41(9): 0911001 Copy Citation Text show less
    Measured true signals and ghosts in laboratory measurement
    Fig. 1. Measured true signals and ghosts in laboratory measurement
    On-orbit examples of signals and ghosts. (a) Example 1; (b) example 2
    Fig. 2. On-orbit examples of signals and ghosts. (a) Example 1; (b) example 2
    Trajectory noise of on-orbit high energy particles
    Fig. 3. Trajectory noise of on-orbit high energy particles
    Maximum number of output events in each sub-area
    Fig. 4. Maximum number of output events in each sub-area
    Flowchart of cluster process of lightning events
    Fig. 5. Flowchart of cluster process of lightning events
    Result of lightning cluster
    Fig. 6. Result of lightning cluster
    On-board results of lightning monitor and process. (a) Detection result of lighting event; (b) result after nonlightning events filtering
    Fig. 7. On-board results of lightning monitor and process. (a) Detection result of lighting event; (b) result after nonlightning events filtering
    Contrast of lightning detection by LMI and LAND every 1 h. (a) LMI; (b) LAND
    Fig. 8. Contrast of lightning detection by LMI and LAND every 1 h. (a) LMI; (b) LAND
    Change of number of events by time
    Fig. 9. Change of number of events by time
    ImageExample 1Example 2
    RowColumnDRowColumnD
    Ghost892093315321530
    Lightning event323883428256833161
    322883197255832708
    323891580256822097
    322891406255821779
    321881074256841119
    3238796425584804
    3228793825783716
    3248879825782604
    3218979025681576
    3248956825581485
    3248745125784481
    3229044425483417
    3218741725482364
    3239042325685352
    3249030625484321
    Table 1. Position and D of on-orbit lightning signal and ghost
    UTCNumber of detected eventsNumber of ghost filteringNumber of track filteringNumber of granular filteringNumber of lightning eventsProportion of false alarm /%
    2017/3/29 10:00-11:0013078301791106081999684.71
    2017/3/29 11:00-12:0015539601901236863152079.72
    2017/3/29 12:00-13:0014922402171157703323777.73
    2017/3/29 13:00-14:0015020302001080964190772.10
    2017/3/29 14:00-15:001282250152851574291666.53
    2017/3/29 15:00-16:001124983525763173565368.31
    2017/3/29 16:00-17:001338841398891844430166.91
    2017/3/29 17:00-18:00595814407364242274661.82
    2017/3/29 18:00-19:001060284560716843378068.14
    2017/3/29 19:00-20:0013563714451959393923371.08
    2017/3/29 20:00-21:0016194811355994546212861.64
    2017/3/29 21:00-22:0016049874521021045793563.90
    2017/3/29 22:00-23:001546766319836687068354.30
    2017/3/29 23:00-00:0015040718373787497126752.62
    2017/3/30 00:00-01:00894682185670742220775.18
    Table 2. Filtering result of false lightning event
    Huiting Gao, Shulong Bao, Hua Liang, Fuxiang Huang. Filtering Algorithm for Nonlightning Events Using the FY-4 Lightning Mapping Imager[J]. Acta Optica Sinica, 2021, 41(9): 0911001
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