Cart (Loading....) | Create Account
Close category search window
 

Tornadic Time-Series Detection Using Eigen Analysis and a Machine Intelligence-Based Approach

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Yeary, M. ; Sch. of Electr. & Comput. Eng., Univ. of Oklahoma, Norman, OK ; Nemati, S. ; Yu, T.-Y. ; Wang, Y.

The research Weather Surveillance Radar-1988 Doppler locally operated by the National Severe Storms Laboratory in Norman, OK, has the unique capability of collecting massive volumes of Level I time-series data over many hours, which provides a rich environment for evaluating our new postprocessing algorithms. In this letter, an approach of identifying tornado vortices in Doppler spectra is proposed and investigated using eigen analysis, cluster estimation, and fuzzy logic technique.

Published in:

Geoscience and Remote Sensing Letters, IEEE  (Volume:4 ,  Issue: 3 )

Date of Publication:

July 2007

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.