| Document Date: 2006-10-10 16:07:37
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City Los Angeles / Cleveland / Toronto / Washington DC / Santa Rosa / Springfield / Anchorage / / Company QuikSCAT / World Scientific / Computational Physics Inc. / Naval Research Laboratory / The Aerospace Corporation / MFNG / / Country United States / Canada / Singapore / / Currency USD / / / Event FDA Phase / Environmental Issue / Business Partnership / / IndustryTerm algorithm / analytical solution / physical solution / satellite retrievals / median-filterbased ambiguity removal algorithm / regression software / well-calibrated ocean algorithm / statistical algorithms / retrieval algorithms / satellite-based retrievals / nonlinear optimization algorithm / science product / statistical/maximum-likelihood estimator algorithm / / Organization United States Navy / / Person Peter W. Gaiser / L. Connor / Michael Bettenhausen / Craig K. Smith / / Product NPOESS Conical / / ProvinceOrState Virginia / Alaska / California / Ontario / / RadioStation Radio Sci / / Technology Sensor Data Record algorithms / statistical/maximum-likelihood estimator algorithm / REMOTE SENSING / nonlinear optimization algorithm / SDR algorithm / median-filterbased ambiguity removal algorithm / retrieval algorithms / microwave / well-calibrated ocean algorithm / physically based algorithm / Digital Object Identifier / AMSR Ocean Algorithm / /
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164 IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, VOL. 3, NO. 1, JANUARY 2006 A Statistical Approach to WindSat Ocean Surface Wind Vector Retrieval