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....
Main Authors: | Chen Chuan, Cheng Zheng, Liu Bo, Li Ligang |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9098866/ |
Similar Items
-
Evaluation of Atmospheric Downward Longwave Radiation in the Brazilian Pampa Region
by: Daniele Aimi, et al.
Published: (2021-12-01) -
Quasi-objective Nonlinear Principal Component Analysis and applications to the atmosphere
by: Lu, Beiwei
Published: (2007) -
Quasi-objective Nonlinear Principal Component Analysis and applications to the atmosphere
by: Lu, Beiwei
Published: (2007) -
Quasi-objective Nonlinear Principal Component Analysis and applications to the atmosphere
by: Lu, Beiwei
Published: (2007) -
A Physical-Based Algorithm for Retrieving Land Surface Temperature From Moon-Based Earth Observation
by: Linan Yuan, et al.
Published: (2020-01-01)