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Proceedings Paper

Novel approach to retrieving wind vectors from the NSCAT scatterometer
Author(s): Sami M. Alhumaidi; W. Linwood Jones
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Paper Abstract

The NASA Scatterometer was a satellite radar system launched in August 1996 on Japan's Advanced Earth Observing System ADEOS to remotely sense ocean surface wind vectors. This radar measures backscattered power for the ocean at three azimuths and uses a non-linear wind retrieval algorithm to infer surface wind vectors. This paper presents a new approach to the wind retrieval process to estimate ocean- surface wind vectors. This new approach employs a genetic algorithm (GA) to find the wind vector solutions that minimize the likelihood function. The likelihood function is generated by summing the errors of the theoretical backscattered versus measured sigma-0 divided by standard deviation of the measurements in every wind vector cell. Currently, the NSCAT Project algorithm implements a 'special brute force' approach to finding the wind vector solutions that minimize the likelihood function. The paper also present comparisons of the result of using the GA approach versus the current NSCAT algorithm. The GA approach is shown to be more robust and immune to reaching sub-optical solutions by avoiding local minima.

Paper Details

Date Published: 30 March 2000
PDF: 8 pages
Proc. SPIE 4055, Applications and Science of Computational Intelligence III, (30 March 2000); doi: 10.1117/12.380572
Show Author Affiliations
Sami M. Alhumaidi, KACST (Saudi Arabia)
W. Linwood Jones, Univ. of Central Florida (United States)


Published in SPIE Proceedings Vol. 4055:
Applications and Science of Computational Intelligence III
Kevin L. Priddy; Paul E. Keller; David B. Fogel, Editor(s)

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