Modeling and simulation of multispectral imaging through anisoplanatic atmospheric optical turbulence

Author:

Hardie Russell C.1,Rucci Michael A.2,Bose-Pillai Santasri3,Van Hook Richard4,Karch Barry K.2

Affiliation:

1. University of Dayton, Department of Electrical and Computer Engineering, Dayton, Ohio, United States

2. Air Force Research Laboratory, AFRL/RYMT, Wright-Patterson Air Force Base, Ohio, United States

3. Air Force Institute of Technology, Department of Engineering Physics, Dayton, Ohio, United States

4. Air Force Research Laboratory, AFRL/RYMP, Wright-Patterson Air Force Base, Ohio, United States

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Engineering,Atomic and Molecular Physics, and Optics

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Facial classification from multispectral imagery through atmospheric turbulence using machine learning;Unconventional Imaging, Sensing, and Adaptive Optics 2023;2023-10-03

2. Computational Imaging Through Atmospheric Turbulence;Foundations and Trends® in Computer Graphics and Vision;2023

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