期刊名称：International Journal of Image Processing (IJIP)
电子版ISSN：1985-2304
出版年度：2013
卷号：7
期号：4
页码：402-417
出版社：Computer Science Journals
摘要：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.
