A neural-network technique for the retrieval of atmospheric temperature and moisture profiles from high spectral resolution sounding data

IEEE Transactions on Geoscience and Remote Sensing

Volumn 43, Issue 11, 2005, Pages 2535-2546

  Blackwell, William J ^a,b,c,d  

^a IEEE   (United States)

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^c MIT LINCOLN LABORATORY   (United States)

^d Tau Beta Pi ^*  (United States)

Author keywords

Advanced Microwave Sounding Unit (AMSU); Advanced Technology Microwave Sounder (ATMS); Atmospheric InfraRed Sounder (AIRS); Canonical Correlations; Crosstrack Infrared Sounder (CrIS); Humidity; Hyperspectral; Infrared

Indexed keywords

ADVANCED MICROWAVE SOUNDING UNIT (AMSU); ADVANCED TECHNOLOGY MICROWAVE SOUNDING (ATMS); ATMOSPHERIC INFRARED SOUNDER (AIRS); CANONICAL CORRELATIONS; CROSSTRACK INFRARED SOUNDERS (CRIS); HYPERSPECTRAL;

ALGORITHMIC LANGUAGES; ATMOSPHERIC HUMIDITY; ATMOSPHERIC TEMPERATURE; COMPUTER SIMULATION; INFORMATION RETRIEVAL; INFRARED RADIATION; MOISTURE DETERMINATION; PRINCIPAL COMPONENT ANALYSIS; STATISTICAL METHODS;

FEEDFORWARD NEURAL NETWORKS;

EID: 27844561048     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2005.855071     Document Type: Conference Paper

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