A DeturNet-Based Method for Recovering Images Degraded by Atmospheric Turbulence

A DeturNet-Based Method for Recovering Images Degraded by Atmospheric Turbulence

Atmospheric turbulence is one of the main issues causing image blurring, dithering, and other degradation problems when detecting targets over long distances. Due to the randomness of turbulence, degraded images are hard to restore directly using traditional methods. With the rapid development of de...

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Bibliographic Details
Main Authors: Xiangxi Li, Xingling Liu, Weilong Wei, Xing Zhong, Haotong Ma, Junqiu Chu
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Remote Sensing
Subjects:
atmospheric turbulence
image restoration
deep learning
atmospheric optics
Online Access:https://www.mdpi.com/2072-4292/15/20/5071

Internet

https://www.mdpi.com/2072-4292/15/20/5071

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