An imaging-based approach to measure atmospheric turbulence

被引：0
|
作者：
Wang, Yadong [1 ]
Bai, Xiangzhi [1 ]
机构：
[1] Beihang Univ, Beijing, Peoples R China
来源：
NATURE COMPUTATIONAL SCIENCE | 2023年 / 3卷 / 08期
关键词：
CLEAR-AIR TURBULENCE;
D O I：
10.1038/s43588-023-00501-7
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
The dissipation and bending of light waves by atmospheric turbulence adversely affects infrared imaging, leading to grayscale drift, distortion, and blurring. A deep learning method has been developed to both extract the two-dimensional atmospheric turbulence strength fields and obtain clear and stable images from turbulence-distorted infrared images.
引用
收藏
页码：673 / 674
页数：2
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