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Volumn 127, Issue 4, 2016, Pages 1797-1803

Improved cloud phase retrieval approaches for China's FY-3A/VIRR multi-channel data using Artificial Neural Networks

Author keywords

Artificial Neural Network; Back propagation; Cloud phase retrieval; FY 3A VIRR; Self organizing feature map

Indexed keywords

CLASSIFIERS; CLIMATE CHANGE; CONFORMAL MAPPING; NEURAL NETWORKS; ORBITS; PHASE MEASUREMENT; PHASE SHIFTERS; SELF ORGANIZING MAPS; WEATHER FORECASTING;

EID: 84954059623     PISSN: 00304026     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijleo.2015.11.084     Document Type: Article
Times cited : (6)

References (12)
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    • J.R. Acarreta, P. Stammes, and W.H. Knap First retrieval of cloud phase from SCIAMACHY spectra around 1.6 μm Atmos. Res. 72 2004 89 105 10.1016/j.atmosres.2004.03.027
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  • 6
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    • A neural network algorithm for cloud fraction estimation using NASA-Aura OMI VIS radiance measurements
    • G. Saponaro, P. Kolmonen, J. Karhunen, J. Tamminen, and G. de Leeuw A neural network algorithm for cloud fraction estimation using NASA-Aura OMI VIS radiance measurements Atmos. Meas. Tech. 6 2013 2301 2309 10.5194/amt-6-2301-2013
    • (2013) Atmos. Meas. Tech. , vol.6 , pp. 2301-2309
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    • Multifeature texture analysis for the classification of clouds in satellite imagery
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.