Volume 4 Number 1 (Feb. 2014)
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IJEEEE 2014 Vol.4(1): 28-31 ISSN: 2010-3654
DOI: 10.7763/IJEEEE.2014.V4.296

Detecting the Storm Movement by Sub Pixel Registration Approach of Newton Raphson Method

Cho Thinzar and Nyein Aye
Abstract— The change detection, storm detection and forecasting the weather condition consist of in the field of natural disaster management as the essential role. The detecting of the storm direction is provided to manage and to prevent the possible attacked region of the land. The sub pixel registration approach is applied for computing the movement of the interested cloud region. The direction of the storm can be tracked from these computations. Especially, the attacked region of Myanmar Land is forecasted from multi-date satellite image by using the digital image correlation based on the sub-pixel accuracy with Newton Raphson method. The proposed method is very effective because of its experiment and its result.

Index Terms— Connected neighborhood, digital image correlation, newton Raphson method, sub-pixel registration algorithm.

Cho Thinzar and Nyein Aye are with the University of Computer Studies, Mandalay, Myanmar (e-mail: {chothinzar.ucsm12, nyeinaye}@gmail.com).

Cite: Cho Thinzar and Nyein Aye, " Detecting the Storm Movement by Sub Pixel Registration Approach of Newton Raphson Method," International Journal of e-Education, e-Business, e-Management and e-Learning vol. 4, no. 1, pp. 28-31, 2014.

General Information

ISSN: 2010-3654 (Online)
Abbreviated Title: Int. J. e-Educ. e-Bus. e-Manag. e-Learn.
Frequency: Quarterly
Editor-in-Chief: Prof. Kuan-Chou Chen
Executive Editor: Ms. Nancy Lau
Abstracting/ Indexing: EBSCO, Google Scholar, Electronic Journals Library, QUALIS, ProQuest, INSPEC (IET)
E-mail: ijeeee@iap.org
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