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Computation of Atmospheric Optical Parameters Based on Deep Neural Network and PCA
Alternative TitleWOS:000546410800033;20202608866507
Chen Chuan; Cheng Zheng; Liu Bo1; Li Ligang1
Source PublicationIEEE ACCESS
2020
Volume8Pages:102256-102262
DOI10.1109/ACCESS.2020.2996626
ISSN2169-3536
Language英语
KeywordAtmospheric modeling Terrestrial atmosphere Remote sensing Principal component analysis Atmospheric measurements Optical imaging Atmospheric optical parameters imaging simulation deep neural networks principal component analysis atmospheric downward radiation
AbstractThe 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. This paper proposed a method based on deep neural networks (DNN) and principal component analysis (PCA) to compute AOP. Firstly, MODTRAN is employed to obtain large numbers of AOP as original spectrum set in different weather and observation geometry conditions. Then the dimension of original spectrum is reduced by PCA. Next, a DNN is constructed and trained using compressed spectral signatures. Finally, estimated AOP are obtained through inverse PCA by decompressing the output of DNN. The results show that original AOP and estimated AOP have a high spectral similarity which relative error is less than 2 & x0025;. Compared with the classical methods, DNN can be used to accurately and fast compute AOP with any kind of conditions in remote sensing imaging applications, without consuming large of graphic memory.
Indexed BySCI ; EI
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Document Type期刊论文
Identifierhttp://ir.nssc.ac.cn/handle/122/7661
Collection中国科学院国家空间科学中心
Affiliation1.China Acad Engn Phys, Inst Comp Applicat, Mianyang 621900, Sichuan, Peoples R China
2.Chinese Acad Sci, Natl Space Sci Ctr, Key Lab Elect & Informat Technol Space Syst, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Chen Chuan,Cheng Zheng,Liu Bo,et al. Computation of Atmospheric Optical Parameters Based on Deep Neural Network and PCA[J]. IEEE ACCESS,2020,8:102256-102262.
APA Chen Chuan,Cheng Zheng,Liu Bo,&Li Ligang.(2020).Computation of Atmospheric Optical Parameters Based on Deep Neural Network and PCA.IEEE ACCESS,8,102256-102262.
MLA Chen Chuan,et al."Computation of Atmospheric Optical Parameters Based on Deep Neural Network and PCA".IEEE ACCESS 8(2020):102256-102262.
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