Acta Photonica Sinica, Volume. 52, Issue 9, 0910001(2023)
High Photon Efficiency Image Reconstruction Algorithm Based on Depth Range Selection for Single Photon Counting LiDAR
Figures & Tables(14)
Fig. 2. Typical histogram of photon arrival time of single pixel in the case of very few echo photons
Fig. 5. Schematic of the depth range selection of the target scene
Fig. 6. Flowchart of adaptive neighborhood photon supplementation for vacant and few photon pixels
Fig. 7. When SBR=0.04，the reconstruction results of the four methods for bowling data with SPPP of 0.1，0.5，1，2，and 5
Fig. 9. When SBR=0.09，the reconstruction results of the three methods for street view data with SPPP of 0.47，0.94，1.88，and 2.81
Fig. 10. Target scene，depth reference ground truth and reconstruction results of time-of-flight data with SPPP of 0.7，2.3，4.4，10.7，21.6 and 108.0 by three methods
Table 1. Review parameter table
View tableView in ArticleTable 1. Review parameter table
PRA Lm binm Rm 1.135 7×103 16 17 18 4.430 0 941 1 012 1 050 4.215 1 1 066 1 105 1 156 8.979 3 1 164 1 195 1 239 4.358 3 1 245 1 267 1 392 7.158 0 1 579 1 634 1 692 31.781 3 1 694 1 720 1 747 NAN 12 400 12 489 12 490
Table 2. The RMSE and consumption time of the reconstruction results of the four methods vary with various SPPP at SBR=0.04
View tableView in ArticleTable 2. The RMSE and consumption time of the reconstruction results of the four methods vary with various SPPP at SBR=0.04
Methods SPPP=0.1 SPPP=0.5 SPPP=1 SPPP=2 SPPP=5 RMSE/m Shin 5.722 5.693 5.693 5.690 5.694 Unmixing 0.372 0.463 0.338 0.081 0.029 PP-Unmixing 0.161 0.094 0.083 0.041 0.031 Proposed 0.067 0.090 0.084 0.033 0.028 Time/s Shin 20.8 20.3 37.6 37.6 40.7 Unmixing 94.5 148.7 215.2 313.9 632.3 PP-Unmixing 71.0 87.6 85.7 106.8 136.6 Proposed 44.0 27.3 23.6 23.8 23.1
Table 3. The RMSE and consumption time of the reconstruction results of the three methods vary with various SPPP at SBR=0.09
View tableView in ArticleTable 3. The RMSE and consumption time of the reconstruction results of the three methods vary with various SPPP at SBR=0.09
Methods SPPP=0.47 SPPP=0.94 SPPP=1.88 SPPP=2.81 RMSE/m Shin 0.974 0.362 0.159 0.153 Unmixing 0.168 0.086 0.058 0.046 Proposed 0.032 0.027 0.023 0.022 Time/s Shin 10.3 10.0 8.5 8.8 Unmixing 107.3 81.0 129.7 133.5 Proposed 37.2 25.3 20.3 17.8
Table 4. The RMSE and consumption time of the reconstruction results of the three methods vary with various SPPP
View tableView in ArticleTable 4. The RMSE and consumption time of the reconstruction results of the three methods vary with various SPPP
Methods SPPP=0.7 SPPP=2.3 SPPP=4.4 SPPP=10.7 SPPP=21.6 SPPP=108.0 RMSE/m Shin 0.372 0.120 0.034 0.031 0.031 0.031 Unmixing 0.059 0.041 0.019 0.017 0.015 0.014 Proposed 0.050 0.030 0.022 0.018 0.016 0.012 Time/s Shin 1.6 1.6 1.5 1.5 1.6 1.9 Unmixing 6.3 6.0 5.8 5.1 5.0 5.4 Proposed 8.0 3.9 3.5 3.2 3.0 3.0
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Fanxing MENG, Tongyi ZHANG, Yan KANG, Ruikai XUE, Xiaofang WANG, Weiwei LI, Lifei LI. High Photon Efficiency Image Reconstruction Algorithm Based on Depth Range Selection for Single Photon Counting LiDAR[J]. Acta Photonica Sinica, 2023, 52(9): 0910001
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Received: Mar. 16, 2023
Accepted: Apr. 14, 2023
Published Online: Oct. 24, 2023
The Author Email: ZHANG Tongyi (tyzhang@opt.ac.cn)
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