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[TTC00] Validation of the QSCAT NRCS on the Advanced Neural Network NSCAT GMF and estimation of Neural Network QSCAT GMF
Conférence Internationale avec comité de lecture : IGARSS, January 2000,
motcle:
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
Commentaires:
Honolulu Hawaï july 2000
Collaboration:
UPMC
BibTeX
| @inproceedings { | |||
| TTC00, | |||
| title | = | "{Validation of the QSCAT NRCS on the Advanced Neural Network NSCAT GMF and estimation of Neural Network QSCAT GMF }", | |
| author | = | " N. Tran and S. Thiria and M. Crepon and F. Badran and M. Freilich ", | |
| booktitle | = | "{IGARSS}", | |
| year | = | 2000, | |
| month | = | "January", | |
| note | = | "{Honolulu Hawaï july 2000}", | |
| } | |||
