Affiliation:
1. College of Computer Science and Electronic Engineering Hunan University Changsha 410082 China
2. School of Computer Science Hunan University of Technology and Business Changsha 410205 China
Abstract
AbstractIn airborne imaging, wind‐induced random environment severely disturbs the imaging quality. Ghost imaging (GI) shows its potential application in airborne imaging due to the natural ability of anti‐interference and imaging at low light levels, however, the influence of wind‐induced random environment on GI is non‐negligible under low‐light detection. In this paper, GI through a wind‐induced random environment under low‐light detection is experimentally and numerically investigated. The experiment is performed with a wind tunnel, and the imaging quality decreases with wind velocity and detection signal‐to‐noise ratio (SNR). The simulation model of GI under low‐light detection through this kind of environment is proposed, and simulation results match well with experiments. With the theoretical model, imaging results for the binary and grayscale object under supersonic wind region are discussed in detail, and the critical wind velocity under the influences of boundary‐layer thickness and object size are obtained. These results can find potential applications in optical imaging and can be used to estimate the effect of airflow on the imaging performance.
Funder
National Natural Science Foundation of China
Subject
Electrical and Electronic Engineering,Computational Theory and Mathematics,Condensed Matter Physics,Mathematical Physics,Nuclear and High Energy Physics,Electronic, Optical and Magnetic Materials,Statistical and Nonlinear Physics