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Communication Dans Un Congrès Année : 2000

Validation of the QSCAT NRCS on the Advanced Neural Network NSCAT GMF and estimation of Neural Network QSCAT GMF

Résumé

Neural networks are relevant statistical methods that we used to determine the GMFs of NSCAT and QSCAT scatterometer. They are well-suited for non-linear regression but they also can give more information than just the mean of a conditional distribution of data. We have also determined a function which estimates the conditional variance of QSCAT measurements following the previous works on NSCAT measurements
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Dates et versions

hal-01124636 , version 1 (25-01-2022)

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Citer

N. Tran, Sylvie Thiria, Michel Crépon, Fouad Badran, M. Freilich. Validation of the QSCAT NRCS on the Advanced Neural Network NSCAT GMF and estimation of Neural Network QSCAT GMF. International Geoscience and Remote Sensing Symposium, Jul 2000, Honolulu, United States. pp.1042-1044, ⟨10.1109/IGARSS.2000.858015⟩. ⟨hal-01124636⟩
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