Computation of Atmospheric Optical Parameters Based on Deep Neural Network and PCA

Computation of Atmospheric Optical Parameters Based on Deep Neural Network and PCA

The effect of the atmosphere on the propagating energy during the remote sensing imaging simulation is one of the most critical factors affecting the quality of image. The classical methods retrieving atmospheric optical parameters (AOP) have shortcomings in GPU-based imaging simulation application....

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Bibliographic Details
Main Authors: Chen Chuan, Cheng Zheng, Liu Bo, Li Ligang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Atmospheric optical parameters
imaging simulation
deep neural networks
principal component analysis
atmospheric downward radiation
Online Access:https://ieeexplore.ieee.org/document/9098866/

Internet

https://ieeexplore.ieee.org/document/9098866/

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