A data-mining technique for aerosol retrieval across multiple accuracy measures

IEEE Geoscience and Remote Sensing Letters

Volumn 7, Issue 2, 2010, Pages 411-415

  Radosavljevic, Vladan ^a   Vucetic, Slobodan ^a   Obradovic, Zoran ^a  

^a TEMPLE UNIVERSITY   (United States)

Author keywords

Aerosol retrieval; Metalearning; Neural networks

Indexed keywords

ACCURACY MEASURES; AERONET; AEROSOL OPTICAL DEPTHS; AEROSOL RETRIEVAL; AEROSOL ROBOTIC NETWORKS; DATA POINTS; GROUND BASED; MEAN SQUARED ERROR; METALEARNING; MODERATE RESOLUTION IMAGING SPECTROMETERS; MULTIPLE DOMAINS; MULTIPLE NEURAL NETWORKS; OPERATIONAL RETRIEVAL ALGORITHMS; PREDICTION ACCURACY; REMOTE SENSING APPLICATIONS; RETRIEVAL ALGORITHMS; SATELLITE OBSERVATIONS; SATISFACTORY PREDICTIONS; SECOND LAYER; SQUARED ERRORS; TERRAIN ELEVATION; TEST DATA; TWO LAYERS;

ALGORITHMS; ATMOSPHERIC AEROSOLS; MINING; RADIOMETERS; REMOTE SENSING; SPECTROMETERS; THREE TERM CONTROL SYSTEMS;

NEURAL NETWORKS;

EID: 77951208625     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2009.2037720     Document Type: Article

References (4)

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