Infrared and Laser Engineering, Volume. 51, Issue 8, 20220656(2022)
Dynamic infrared cloud scene simulation based on time series smoothing multiscale superposition
Figures & Tables(5)
Fig. 1. Schematic diagram of simulation scheme based on time series smoothing and multi-scale superposition
Fig. 2. Schematic diagram of wind direction angle and cloud movement direction
Table 1. Detection system simulation parameter settings
View tableView in ArticleTable 1. Detection system simulation parameter settings
Parameter Value Parameter Value Imaging time/min 1 Orbital altitude/km 36000 Frame rate/Hz 1 Earth radius/km 6378 Image size/pixel 30000×30000 NESR/W·sr−1·m−2 2×10−5 Focal length/mm 2200 Jitter amplitude/mm 5×10−2 Cell size/mm 1×10−2 Average defocus amount/mm 1×10−3 Integration time/s 5×10−4 Other MTF 0.8 Aperture diameter/mm 500 Wavelength/μm 3-5 Wind angle/(°) 0, 45 Overall cloud speed/pixel·s−1 0, 10
Table 2. Results of comparing computational efficiency of improved method and traditional method
View tableView in ArticleTable 2. Results of comparing computational efficiency of improved method and traditional method
Items Traditional method/s Improved method/s Size/pixel 10000×10000 4188.84 298.56 50000×50000 125655.25 8196.47 100000×100000 629365.63 38113.60 Type Cirrus 109915.45 6581.97 Cirrocumulus 3891.56 360.33 Stratus 65782.28 4635.82 Coverage 30% 15529.43 1125.32 50% 62117.64 3981.90 70% 123438.89 7261.11
Tools
Get Citation
Copy Citation Text
Shuang Wu, Chao Li, Chuanwei Gao, Qi Tong. Dynamic infrared cloud scene simulation based on time series smoothing multiscale superposition[J]. Infrared and Laser Engineering, 2022, 51(8): 20220656
Paper Information
Category: Infrared technology and application
Received: Sep. 9, 2021
Accepted: --
Published Online: Jan. 9, 2023
The Author Email:
© Copyright 2018-2021 | Chinese Laser Press.
All Rights Reserved 沪ICP备15018463号-20