A Dynamic Imaging Simulation Method of Infrared Aero-Optical Effect Based on Continuously Varying Gaussian Superposition Model
Aero-optical effect correction has become a crucial issue in airborne infrared imaging. However, it is impractical to test the correction algorithm using flight tests and numerical simulation because of its high cost. This study proposes a dynamic imaging simulation method for the infrared aero-opti...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-02-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/22/4/1616 |
| _version_ | 1797476684870451200 |
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| author | Shuyuan Zhang Xin Chen Yingqing Zu Peng Rao |
| author_facet | Shuyuan Zhang Xin Chen Yingqing Zu Peng Rao |
| author_sort | Shuyuan Zhang |
| collection | DOAJ |
| description | Aero-optical effect correction has become a crucial issue in airborne infrared imaging. However, it is impractical to test the correction algorithm using flight tests and numerical simulation because of its high cost. This study proposes a dynamic imaging simulation method for the infrared aero-optical effect based on a continuously varying Gaussian superposition model. The influence of infrared image degradation under different high-speed aerodynamic flow fields was investigated in detail. A continuously varying Gaussian superposition model was established for flight speed, altitude, and attitude. A dynamic infrared scene simulation model was constructed. Experimental results show that the proposed method can realistically simulate actual aero-optical effects of any flight case. Moreover, it can simulate continuous frames of aerodynamically degraded infrared images. The method uses a simpler model than numerical simulation and provides more data for multitype tasks. |
| first_indexed | 2024-03-09T21:05:08Z |
| format | Article |
| id | doaj.art-5bf7fbd2ad1945668bd62ece0cafc979 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T21:05:08Z |
| publishDate | 2022-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-5bf7fbd2ad1945668bd62ece0cafc9792023-11-23T22:02:26ZengMDPI AGSensors1424-82202022-02-01224161610.3390/s22041616A Dynamic Imaging Simulation Method of Infrared Aero-Optical Effect Based on Continuously Varying Gaussian Superposition ModelShuyuan Zhang0Xin Chen1Yingqing Zu2Peng Rao3Key Laboratory of Intelligent Infrared Perception, Chinese Academy of Sciences, Shanghai 200083, ChinaKey Laboratory of Intelligent Infrared Perception, Chinese Academy of Sciences, Shanghai 200083, ChinaDepartment of Aeronautics and Astronautics, Fudan University, Shanghai 200433, ChinaKey Laboratory of Intelligent Infrared Perception, Chinese Academy of Sciences, Shanghai 200083, ChinaAero-optical effect correction has become a crucial issue in airborne infrared imaging. However, it is impractical to test the correction algorithm using flight tests and numerical simulation because of its high cost. This study proposes a dynamic imaging simulation method for the infrared aero-optical effect based on a continuously varying Gaussian superposition model. The influence of infrared image degradation under different high-speed aerodynamic flow fields was investigated in detail. A continuously varying Gaussian superposition model was established for flight speed, altitude, and attitude. A dynamic infrared scene simulation model was constructed. Experimental results show that the proposed method can realistically simulate actual aero-optical effects of any flight case. Moreover, it can simulate continuous frames of aerodynamically degraded infrared images. The method uses a simpler model than numerical simulation and provides more data for multitype tasks.https://www.mdpi.com/1424-8220/22/4/1616aero-optical effectinfrared imaging degradationpoint spread function |
| spellingShingle | Shuyuan Zhang Xin Chen Yingqing Zu Peng Rao A Dynamic Imaging Simulation Method of Infrared Aero-Optical Effect Based on Continuously Varying Gaussian Superposition Model Sensors aero-optical effect infrared imaging degradation point spread function |
| title | A Dynamic Imaging Simulation Method of Infrared Aero-Optical Effect Based on Continuously Varying Gaussian Superposition Model |
| title_full | A Dynamic Imaging Simulation Method of Infrared Aero-Optical Effect Based on Continuously Varying Gaussian Superposition Model |
| title_fullStr | A Dynamic Imaging Simulation Method of Infrared Aero-Optical Effect Based on Continuously Varying Gaussian Superposition Model |
| title_full_unstemmed | A Dynamic Imaging Simulation Method of Infrared Aero-Optical Effect Based on Continuously Varying Gaussian Superposition Model |
| title_short | A Dynamic Imaging Simulation Method of Infrared Aero-Optical Effect Based on Continuously Varying Gaussian Superposition Model |
| title_sort | dynamic imaging simulation method of infrared aero optical effect based on continuously varying gaussian superposition model |
| topic | aero-optical effect infrared imaging degradation point spread function |
| url | https://www.mdpi.com/1424-8220/22/4/1616 |
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