A median-filter-based ambiguity removal algorithm for NSCAT

Author

Shaffer, Scott J. ; Dunbar, R. Scott ; Hsiao, S. Vincent ; Long, David G.

Author_Institution

Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA

Volume

29

Issue

1

fYear

1991

fDate

1/1/1991 12:00:00 AM

Firstpage

167

Lastpage

174

Abstract

A description is given of the baseline NSCAT (the NASA scatterometer) ambiguity removal algorithm and the method used to select the set of optimum parameter values. An extensive simulation of the NSCAT instrument and ground data processor provides a means of testing the resulting tuned algorithm. This simulation generates the ambiguous wind-field vectors expected from the instrument as it orbits over a set of realistic mesoscale wind fields. The ambiguous wind field is then de-aliased using the median-filter-based ambiguity removal algorithm. Performance is measured by comparison of the selected wind fields with the true wind fields. Results have shown that this median-filter-based ambiguity removal algorithm satisfies NSCAT mission requirements, and it therefore has been incorporated into the baseline geophysical data-processing system for NSCAT

Keywords

backscatter; radar receivers; remote sensing by radar; NASA scatterometer; NSCAT; active spaceborne radar; baseline geophysical data-processing system; ground data processor; median-filter-based ambiguity removal algorithm; mesoscale wind fields; ocean surface; optimum parameter values; radar backscatter; wind-field vectors; Extraterrestrial measurements; Geophysical measurements; Instruments; Oceans; Radar measurements; Radar scattering; Sea measurements; Sea surface; Spaceborne radar; Testing;

fLanguage

English

Journal_Title

Geoscience and Remote Sensing, IEEE Transactions on

Publisher

ieee

ISSN

0196-2892

Type

jour

DOI

10.1109/36.103307

Filename

103307