Application of chaos theory to clutter classification

Author

Hareesh, P.V. ; Balakrishnan, N. ; Ramakrishnan, K.R.

Author_Institution

Human Media Group, Matsushita Electr. Works Ltd., Osaka, Japan

Volume

6

fYear

1999

fDate

1999

Firstpage

592

Abstract

In this paper, the correlation dimension has been shown to be effective in distinguishing between the melting layer and other regions in a weather phenomenon. Using the correlation integral method of Grassberger and Procaccia (1983), data collected from 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. The Lyapunov exponent has been found to be positive in these regions emphasizing the fact that the time series is indeed chaotic. It is surmised that the chaos in the time series may have had its origin in the fractal shape of the scatterers in the melting region

Keywords

airborne radar; chaos; melting; meteorological radar; pattern classification; radar clutter; time series; Lyapunov exponent; airborne radar; chaos theory; clutter classification; correlation dimension; correlation integral method; fractal shape; melting layer; scatterers; time series; weather phenomenon; Backscatter; Chaos; Clutter; Crystals; Doppler radar; Needles; Radar scattering; Shape; Stochastic processes; Supercomputers;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on

Conference_Location

Tokyo

ISSN

1062-922X

Print_ISBN

0-7803-5731-0

Type

conf

DOI

10.1109/ICSMC.1999.816618

Filename

816618