Solving Inverse Problems by Bayesian Iterative Inversion of a Forward Model with Applications to Parameter Mapping Using SMMR Remote Sensing Data

IEEE Transactions on Geoscience and Remote Sensing

Volumn 33, Issue 5, 1995, Pages 1182-1193

  Davis, Daniel T ^a   Njoku, Eni ^b   Hwang, Jenq Neng ^a   Tsang, Leung ^a  

^a UNIVERSITY OF WASHINGTON   (United States)

^b CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ATMOSPHERIC TEMPERATURE; DATA ACQUISITION; INVERSE PROBLEMS; ITERATIVE METHODS; MATHEMATICAL MODELS; NEURAL NETWORKS; PROBABILITY; RADIOMETERS;

BAYESIAN METHODOLOGY; CAUSAL MODELS; CONDITIONAL PROBABILITIES; FORWARD MODEL; GROUND TRUTH INFORMATION; ITERATIVE INVERSION; NOISE DISTRIBUTION; PARAMETER MAPPING; SCANNING MULTICHANNEL MICROWAVE RADIOMETER; SYNTHETIC REMOTE SENSING PROBLEM;

REMOTE SENSING;

EID: 0029369451     PISSN: 01962892     EISSN: 15580644     Source Type: Journal    
DOI: 10.1109/36.469482     Document Type: Article

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