Hareesh, PV and Balakrishnan, N and Ramakrishnan, KR (1999) Application of Chaos Theory to Clutter Classification. In: IEEE . VI-592.
In this paper, the correlation dimension has been shown to be effective in distinguishing between the melting layer and the other regions in a weather phenomenon. Using the correlation integral method of Grassberger and Procaccia, data collected from an airborne radar has been analyzed. It has been shown that the correlation dimension dips to 5.5 in the melting layer where as it is around 7 in other regions. Lyapunov exponent has been found to be positive in these regions emphasizing the fact that the time series is indeed chaotic. The chaos in the time series, it is surmised may have had its origin in the fractal shape of the scatterers in the melting region.
|Item Type:||Journal Article|
|Additional Information:||©1999 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.|
|Keywords:||Clutter Classification;Weather phenomenon;|
|Department/Centre:||Division of Information Sciences > Supercomputer Education & Research Centre
Division of Electrical Sciences > Electrical Engineering
|Date Deposited:||25 Aug 2008|
|Last Modified:||19 Sep 2010 04:13|
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