Keywords
backscatter, radar receivers, remote sensing by radar
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.
Original Publication Citation
Shaffer, S. J., et al. "A Median-Filter-Based Ambiguity Removal Algorithm for NSCAT." Geoscience and Remote Sensing, IEEE Transactions on 29.1 (1991): 167-74
BYU ScholarsArchive Citation
Long, David G.; Shaffer, Scott J.; Dunbar, R. Scott; and Hsiao, S. Vincent, "A median-filter-based ambiguity removal algorithm for NSCAT" (1991). Faculty Publications. 726.
https://scholarsarchive.byu.edu/facpub/726
Document Type
Peer-Reviewed Article
Publication Date
1991-01-01
Permanent URL
http://hdl.lib.byu.edu/1877/1005
Publisher
IEEE
Language
English
College
Ira A. Fulton College of Engineering and Technology
Department
Electrical and Computer Engineering
Copyright Status
© 1991 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Copyright Use Information
http://lib.byu.edu/about/copyright/