Acta Optica Sinica, Volume. 41, Issue 19, 1928001(2021)
Inverse Synthetic Aperture Lidar Motion Compensation Imaging Algorithm for Maneuvering Targets
Fig. 4. Distance image and two-dimensional imaging results obtained by different algorithms. (a) Uncompensation;(b) uncompensation-PSO; (c) cross-correlation method; (d) cross-correlation method and PSO; (e) NM simplex; (f) NM-PSO
Fig. 6. Parameter estimation results. (a) Parameter estimation error; (b) distribution of acceleration particles
Fig. 7. Two-dimensional imaging results and entropy distribution. (a) PGA algorithm;(b) NM simplex method; (c) PSO algorithm
Fig. 8. Experimental results of shot noise. (a) IE; (b) NM simplex method; (c) PSO algorithm
Fig. 9. Experimental results of phase noise. (a) IE; (b) NM simplex method; (c) PSO algorithm
|
|
Get Citation
Copy Citation Text
Jian Li, Kunpeng Wang, Kai Jin, Chen Xu, Hanchu Fu, Kai Wei. Inverse Synthetic Aperture Lidar Motion Compensation Imaging Algorithm for Maneuvering Targets[J]. Acta Optica Sinica, 2021, 41(19): 1928001
Category: Remote Sensing and Sensors
Received: Jan. 13, 2021
Accepted: Apr. 19, 2021
Published Online: Oct. 9, 2021
The Author Email: Kai Wei (wei_kai@126.com)