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Elliptic Fourier Descriptors in the Study of Cyclone Cloud Intensity Patterns
Ishita Dutta, S. Banerjee
Pages - 402 - 417     |    Revised - 15-08-2013     |    Published - 15-09-2013
Volume - 7   Issue - 4    |    Publication Date - September 2013  Table of Contents
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KEYWORDS
Cyclone Cloud Intensity, Dvorak Technique, Elliptic Fourier Descriptors, PCA, Spiral Band.
ABSTRACT
Cyclone cloud intensity analysis is conducted to study the evolution of a cyclone storm mainly using two approaches, namely: wind field analysis and pattern recognition. Of the pattern recognition based approaches , the Dvorak technique has been a pioneering effort which is widely used today. However, the Dvorak technique is subjective, as it relies on human judgment and is, therefore, error prone. Efforts have been described in the literature to automate the classification process. In this paper, we describe our efforts to perform a semi-automatic computer analysis of the cyclone cloud intensity evolution pattern which compares preprocessed visible (VIS) and enhanced infra-red (EIR) satellite images with the corresponding prototype Dvorak patterns using Elliptic Fourier Descriptors (EFD) and Principal Component Analysis (PCA) techniques. This novel approach is simple and intuitive and is robust to noise, and at the same time provides classification in cases where the cyclone exhibits fluctuations during its evolutionary cycle.
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Miss Ishita Dutta
Department of Computer Science and Engineering West Bengal University of Technology Kolkata 700064 - India
Mr. S. Banerjee
Department of Natural Science West Bengal University of Technology Kolkata 700064 - India
sreeparnab@hotmail.com


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