Date of Award

Spring 1982

Document Type

Thesis

Department

Electrical & Computer Engineering

Program/Concentration

Electrical and Computer Engineering

Committee Director

John W. Stoughton

Call Number for Print

Special Collections; LD4331.E53 T67

Abstract

Some remote sensing devices, such as satellite microwave scatterometers, produce sampled wind vectors that are accurate in speed and streamline direction, but have a directional ambiguity of 180°. The extraction of information from the two dimensional wind vectors is readily handled using pattern analysis techniques. It is shown that there is sufficient information in the spatial relationships of the generated windstream vectors to recognize the driving meteorological wind patterns. This then leads to the resolution of the wind ambiguity problem. This thesis presents the development of a pattern analysis algorithm that generates a measure of the raw data set that is independent of rotation or relative size. The algorithm is implemented and the results show that it is indeed a viable solution to the wind ambiguity removal problem.

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DOI

10.25777/xhjb-by47

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