Unknown

Dataset Information

0

A Dynamic Imaging Simulation Method of Infrared Aero-Optical Effect Based on Continuously Varying Gaussian Superposition Model.


ABSTRACT: 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.

SUBMITTER: Zhang S 

PROVIDER: S-EPMC8874892 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature

altmetric image

Publications

A Dynamic Imaging Simulation Method of Infrared Aero-Optical Effect Based on Continuously Varying Gaussian Superposition Model.

Zhang Shuyuan S   Chen Xin X   Zu Yingqing Y   Rao Peng P  

Sensors (Basel, Switzerland) 20220218 4


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 co  ...[more]

Similar Datasets

| S-EPMC4944150 | biostudies-literature
| S-EPMC3565544 | biostudies-literature
| S-EPMC5361157 | biostudies-literature
| S-EPMC4901193 | biostudies-literature
| S-EPMC3270072 | biostudies-literature
| S-EPMC3853882 | biostudies-literature
| S-EPMC11018600 | biostudies-literature
| S-EPMC7920935 | biostudies-literature
| S-EPMC8553836 | biostudies-literature
| S-EPMC1262783 | biostudies-literature