Estimation of air surface temperature from remote sensing images and pixelwise modeling of the estimation uncertainty through support vector machines

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Volumn 8, Issue 1, 2015, Pages 332-349

  Moser, Gabriele ^a   De Martino, Michaela ^a   Serpico, Sebastiano B ^a  

^a UNIVERSITY OF GENOA   (Italy)

Author keywords

Air temperature estimation; Clark's approximation; expectation maximization; nonstationary parameter estimation; Powell's algorithm; span bound; support vector machine (SVM)

Indexed keywords

ALGORITHMS; APPROXIMATION ALGORITHMS; EARTH (PLANET); ERROR STATISTICS; IMAGE RECONSTRUCTION; IMAGE SEGMENTATION; MAXIMUM PRINCIPLE; METEOROLOGY; OCEANOGRAPHY; RANDOM PROCESSES; REMOTE SENSING; SOLAR ENERGY; STOCHASTIC SYSTEMS; SUPPORT VECTOR MACHINES; SURFACE PROPERTIES; SURFACE WATERS; TEMPERATURE DISTRIBUTION; UNCERTAINTY ANALYSIS;

AIR TEMPERATURE; CLARK'S APPROXIMATION; EXPECTATION - MAXIMIZATIONS; NONSTATIONARY PARAMETERS; SPAN BOUND;

ATMOSPHERIC TEMPERATURE;

AIR TEMPERATURE; ALGORITHM; ERROR ANALYSIS; ESTIMATION METHOD; NUMERICAL MODEL; PIXEL; REMOTE SENSING; SATELLITE IMAGERY; SEVIRI; SURFACE TEMPERATURE; UNCERTAINTY ANALYSIS;

FRANCE; PROVENCE-ALPES-COTE D'AZUR;

EID: 84929470782     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2014.2361862     Document Type: Article

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