Chinese Journal of Lasers, Volume. 49, Issue 11, 1110001(2022)
Double-Threshold Lidar Cloud Layer Detection Algorithm Based on Cluster Analysis
Fig. 2. Fundamental principle of differential zero-crossing method. (a) Lidar echo signal; (b) first order differential signal
Fig. 5. Zero-point clustering results. (a) Lidar echo signal; (b) cloud detection results
Fig. 6. Simulated lidar echo signal and corresponding algorithm processing results. (a) Simulated low-cloud lidar echo signal; (b) algorithm processing result of low-cloud signal; (c) simulated high cloud lidar echo signal; (d) algorithm processing result of high-cloud signal
Fig. 7. Lidar echo signal and partial cloud layer amplified signals. (a) Measured lidar echo signal;(b) amplified signal in 2.54.5 km; (c) amplified signal in 4.06.5 km; (d) amplified signal in 7.010.0 km
Fig. 8. Inversion results of improved algorithm and partial cloud layer amplified signals. (a) Algorithm processing result of lidar echo signal; (b) first cloud layer; (c) second cloud layer; (d) third cloud layer
Fig. 9. Detection results of differential zero crossing method and improved algorithm; (a) Differential zero-crossing method; (b) improved algorithm
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Sicheng Chen, Jianhua Chang, Zhenxing Liu, Mei Zhou, Yuanyuan Meng, Boye Wang. Double-Threshold Lidar Cloud Layer Detection Algorithm Based on Cluster Analysis[J]. Chinese Journal of Lasers, 2022, 49(11): 1110001
Received: Sep. 9, 2021
Accepted: Nov. 12, 2021
Published Online: Jun. 2, 2022
The Author Email: Chang Jianhua (jianhuachang@nuist.edu.cn)