This paper introduces a Bayes estimator selection technique to adaptively choose a best estimator from among the three types of estimators at each measurement ...
[PDF] towards bayesian estimator selection for quikscat wind and rain
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This paper introduces a Bayes estimator selection technique to adaptively choose a best estimator from among the three types of estimators at each measurement ...
This paper introduces a Bayes estimator selection technique to adaptively choose a best estimator from among the three types of estimators at each measurement ...
V gives an overview of the steps required to adapt Bayes estimator selection to the QuikSCAT wind and rain estimation problem. Section VI evaluates a case ...
Abstract—QuikSCAT was designed for ocean wind retrieval. However, its wind estimation performance is limited in rainy conditions.
Bayes Estimator Results. Regimes. Bayes Estimator Selection. Bayes Estimator Selection (smoothed). Bayes Wind. Bayes Rain. TRMM PR Rain. Page 24. UHR Case Study.
Jun 1, 2010 · Paper Title: TOWARDS BAYESIAN ESTIMATOR SELECTION FOR QUIKSCAT WIND AND RAIN ESTIMATION ; Authors: Michael Owen; Brigham Young University ; David ...
[PDF] Simultaneous Wind and Rain Estimation for QuikSCAT at Ultra ...
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UHR wind estimation performance with the new Bayes estimator selection technique has improved bias and root mean-squared error, which are lower than either ...
Oct 22, 2024 · Buoy comparisons reveal improved wind estimates in the presence of rain. The theoretic estimator bounds are compared to both the simulated ...
QuikSCAT winds to improve the rain flagging of rain-contaminated oceanic wind vector ... It applies a Bayesian inversion method to the observed microwave ...