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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
Cyclone Cloud Intensity, Dvorak Technique, Elliptic Fourier Descriptors, PCA, Spiral Band.
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.
1 Google Scholar 
2 CiteSeerX 
3 refSeek 
4 Scribd 
5 SlideShare 
6 PdfSR 
1 K. Emanuel “A Statistical Analysis of Tropical Cyclone Intensity”, Monthly Weather Review,128, pp.1139-1152 (2000).
2 C. C . Chao G. R. Liu, C. Liu , “Estimation of the upper-layer rotation and maximum wind speed of tropical cyclones via satellite imagery”, Journal of Applied Meteorology and Climatology , 50(3), pp.750-766 (2011).
3 V. Dvorak. “Tropical cyclone intensity analysis and forecasting from satellite imagery”, Monthly Weather Review, .103, pp.420–430 (1975).
4 V. Dvorak “Tropical cyclone Intensity Analysis Using Satellite Data”, NOAA Technical Report NESDIS 11, (1984).
5 J.A. Knaff , D.P. Brown, J. Courtney , G. M. Gallina, J.L. Beven , “An Evaluation of Dvorak Technique-Based Tropical Cyclone Intensity Estimates”, Weather and Forecasting, 25(5),1362-1379, (2010).
6 J.S. Griffin, R.W. Burpee, F. D. Marks, and J. L. Franklin, “ Real Time airborne analysis of aircraft data supporting operational hurricane forecasting”, Weather and Forecasting, 7,pp.480-490, (1992).
7 V. T.Wood, “ A technique for detecting a tropical cyclone centre using a Doppler radar”,Journal of Atmospheric and Oceanic Technology, 11, pp. 1207-1216, (1994).
8 L. Tsang , LYyeh , M. Liu, Y.Hsu, “Locating the Typhoon Center from the IR Satellite Cloud Images”, IEEE International. Conference on System, Man and Cybernetics (SMC 2006) pp.484-488, (2006).
9 T. L.Pao, and J.H. Yeh, “ Typhoon locating and reconstruction from the infra-red satellite cloud image”, Journal of Multimedia, 3, 2, pp. 45-51, (2008).
10 R. S. T. lee and j n k liu “Tropical cyclone identification and tracking system using integrated neural oscillatory elastic graph matching and hybrid RBF network track mining techniques,” IEEE Trans Neural Networks, 11,pp. 680–689, (2000).
11 R.S. T. Lee , and J.N. K. Liu, “ An Elastic Contour Matching Model for Tropical Cyclone Pattern Recognition”, IEEE Transactions on Systems Man and Cybernetics-Part B:Cybernetics, 31, 3, 413-417, (2001).
12 J.N.K. liu, b. feng , m. wang. and w. luo “Tropical Cyclone forecast using Angle Features and Time Warping”, International Joint Conference on Neural Networks Sheraton Vancouver Wall Centre Hotel, Vancouver, BC, Canada, pp-4330-37, (2006).
13 Q. zhang , l. lai and h. wei “ Continuous space optimized artificial ant colony for real-time typhoon eye tracking”, IEEE International Conference on Systems, Man and Cybernetics (SMC) Washington DC: IEEE, pp.1470–1475 , (2007).
14 M. F. Pineros, E.A. Ritchie, and J.S. Tyo, “ Objective Measures of tropical cyclone structure and Intensity change from remotely-sensed infra-red data”, IEEE Transactions On Geosciences and Remote Sensing, 46, 11, pp. 3574-3579, (2008).
15 K. Y. WONG, C.L., YIP, P.W. LI, W. W. TSANG, “Automatic template matching method for tropical cyclone eye fix”, Proceedings of the 17th International Conference on Pattern Recognition(ICPR-2004), Cambridge UK., 3, pp. 650-653, (2004).
16 C. L.YIP, K.Y. WONG, Efficient and effective tropical cyclone eye fix using genetic algorithms, Proceedings of the 8th International Conference on Knowledge-Based Intelligent Information and Engineering Systems (KES-2004), 3213 of Lecture Notes on Artificial Intelligence, Springer-Verlag, Wellington, pp. 654-660, (2004).
17 K. Y. Wong, C.L. Yip, and P.W. Li, “A tropical cyclone eye fix using genetic algorithm”,Expert Systems with Applications 34, 643–656, (2008).
18 K.Y. Wong and C.L. Yip “Identifying centers of circulating and spiraling vector field patterns and its applications”. Pattern Recognition, 42, pp. 1371–1387, (2009).
19 K. Wei , Z. L.Jing , “Spiral band model optimization by chaos immune evolutionary algorithm for locating tropical cyclones”, Atmospheric Research, 97 (1-2), 266-277, (2010) .
20 M.A Abidi. and R.C. Gonzalez “Shape Decomposition Using Elliptic Fourier Descriptors",Proceedings. 18th. IEEE South-east Symposium on System Theory, Knoxville, TN, pp.53-61,(1986).
21 Q. I.Guo, F. Guo, J. Shao “Irregular Shape Symmetry Analysis: Theory and Application to Quantitative Galaxy Classification", IEEE Trans. Pattern Analysis and Machine Intelligence,Vol. 32, no. 10, pp.1730-1743,( 2010).
22 N. Otsu “A threshold selection method from gray-level histograms,” IEEE Trans. Systems,Man, and Cybernetics, vol. 9, no. 1, pp. 62-66, (1979).
23 H.F reeman “On encoding of arbitrary geometric configurations,” IRE Transactions on Electronic computers EC 10, pp.260-268, (1961).
24 H. Iwata and Y. Ukai “SHAPE: A Computer Program Package for Quantitative Evaluation of Biological Shapes”,Journal of Heredity, 93(5), pp.384-385, (2002).
25 F.P. Kuhl AND C.R. Giardina “Elliptic Fourier features of a closed contour”, Computer Graphics and Image Processing, 18, 236–258, (1982).
26 Y. Yoshioka, H. Iwata, R. Ohsawa, S. Ninomiya “Analysis of Petal Shape Variation of Primula sieboldii by Elliptic Fourier Descriptors and Principal Component Analysis”, Annals of Botany 94, pp. 657–664, (2004) .
27 INDIAN METEOROLOGICAL DEPARTMENT “Hurricane Ward: A Preliminary Report”,Available at: http://www.imd.gov.in/section/nhac/dynamic/cycrptward.pdf [2009]
28 NASA” NASA Study Finds 'Pre-Existing Condition' Fueled Killer Cyclone", Available at:http://www.nasa.gov/topics/earth/features/nargis-20090226.html, (2009).
29 J. L.Franklin and D. P. Brown “Tropical Cyclone Report: Hurricane Emily”, pp.1-18, (2006).
30 E. N. RAPPAPORT “Hurricane Andrew”, Weather (49), pp. 51-61, (1992).
31 L. AVILA L.Preliminary Report Hurricane Roxanne, Available at:http://www.nhc.noaa.gov/1995roxanne.html
32 INDIAN METEOROLOGICAL DEPARTMENT (2009) Hurricane Aila: A Preliminary Report,Available at: http://www.imd.gov.in/section/nhac/dynamic/aila.pdf(2009) INDIAN METEOROLOGICAL DEPARTMENT (2009) Hurricane Phyan: A Preliminary Report,Avail -able at: (http://www.imd.gov.in/section/nhac/dynamic/cyclone2008)
33 NATIONAL HURRICANE CENTRE (2001) Tropical Cyclone Report Hurricane Flossie Availlable at:http://www.nhc.noaa.gov/2001flossie.html
34 PASCH AND RICHARD Hurricane Jeanne Preliminary Report, National Hurricane Centre,(1999) STEWART S. R. Tropical Cyclone Report Hurricane Darby, pp. 1-12, (2010).
35 I. Dutta and S. Banerjee, “Shape Analysis of Satellite Images of Cyclone” ICCS 2013- Second International Conference on Computing and Systems”, Burdwan, India, (2013).
36 I. Dutta, S. Banerjee and M.De, "An Algorithm for Pre-Processing of Satellite Images of Cyclone Clouds", in press, International Journal of Computer Applications (2013).
37 V. F. Dvorak, “A technique for the analysis and forecasting of tropical cyclone intensities from satellite pictures,” unpublished, 1973.
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