Chinese Journal of Lasers, Volume. 45, Issue 11, 1110004(2018)
Waveform Decomposition of Echoes for Airborne Lidar Based on Seeker Optimization Algorithm
In order to improve the waveform decomposition precision of echoes for the airborne lidar, the waveform decomposition of echo signals for the airborne lidar is realized and also experimentally verified by taking the skewed normal distribution functions as fitting basis functions and by means of the layer stripping strategy as well as the combination of the seeker optimization algorithm and the LM algorithm with global convergence. The results show that the echo signal can be decomposed into the superposition of a series of skewed normal distribution functions and the key parameters such as signal amplitude, central position, half width and skewness coefficient can be obtained. The correlation coefficients of the fitted waveform and the echo signal are both larger than 99%, indicating an effective improvement of waveform decomposition precision. The proposed method can be used to realize the accurate decomposition of echo signals for the full-waveform airborne lidar.
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Shen Jun, Shang Jianhua, Sun Jiatong, He Yan. Waveform Decomposition of Echoes for Airborne Lidar Based on Seeker Optimization Algorithm[J]. Chinese Journal of Lasers, 2018, 45(11): 1110004
Category: remote sensing and sensor
Received: Apr. 15, 2018
Accepted: --
Published Online: Nov. 15, 2018
The Author Email: Jianhua Shang (jhshang@dhu.edu.cn)