Soil moisture retrieval from remotely sensed data: Neural network approach versus Bayesian method

Abstract

Neural network (NN) approaches and statistical methods, based on a Bayesian procedure, are applied and compared in soil moisture (SM) retrieval from remotely sensed data. The principles and the practical implementations of Bayesian procedures and NNs are briefly discussed in terms of the advantages and disadvantages of each. Experimental tests are carried… (More)
DOI: 10.1109/TGRS.2007.909951

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