颱風雲圖快速搜尋與颱風路徑重建

氣象學中熱帶氣旋在亞洲稱為颱風，是一種低氣壓的暴風系統，帶來強風、豪雨、水災、海水倒灌等災難。在公共設施付之闕如的低開發國家中，颱風帶來的災害更為嚴重。為了降低並避免以上災害，颱風的預測是很重要的一環。利用衛星影像來觀測、預測氣象已經行之有年，我們提出一個利用衛星影像定位、特徵擷取並以XML格式儲存、傳送的方法。如此方式能有效快速的以XML格式從資料庫搜尋特徵並找尋到颱風資料。為了進一步減少呈現颱風所需要的資料量，我們以區塊重建方式來建構使用者欲搜尋的颱風，如此使用者不必等待整張原始影像的下載即可檢視颱風衛星雲圖。在此前提下，颱風定位為建構以上系統的重要一環。為了進一步開發可靠的系統，我們提出一個強化的颱風定位方式，以MPEG-7紋理的描述來輔助颱風定位。有別於過去我們使用颱風的輪廓，紋理的描述更能分辨颱風與雲團的差別。

關鍵字

MPEG-7 ；颱風定位；影像處理； XML

並列摘要

Pacific typhoon refers to tropical cyclone which is a storm system that produces violent winds and flooding rains. Typhoon inflicts terrible damage due to thunderstorms, violent winds, torrential rain, flooding and extremely high tides. Improving the early typhoon forecast capability is a key to the disaster prevention. In this thesis, we implemented a system allows general public or meteorologist check the continuous or cumulative movement of past typhoon. To make such scenario possible, we extract typhoon image features one by one and store as descriptor in XML syntax. XML is heavily used as format for document storage and sharing through internet because of its characteristic. Further more, in order to present the desire typhoon image of user’s selection without transmission of the entire satellite image, we used block patterns to reconstruct typhoon image to reduce transmission time. Many scholars made efforts in locating typhoon center and developed some reliable typhoon fast search and path reconstruction mechanisms. Since typhoon location is an important influencing factor, we propose a method that applies MPEG-7 edge histogram descriptor to extract texture feature for the enhancement of typhoon locating.

並列關鍵字

MPEG-7 ； Typhoon Locating ； Image Processing ； XML

參考文獻

[1] V.F. Dvorak, “Tropical Cyclone Intensity Analysis and Forecasting from Satellite Imagery,” Monthly Weather Review, Vol. 103, No. 5, May 1975, pp. 420-430.

[2] C.L. Yip and K.Y. Wong, “Efficient and Effective Tropical Cyclone Eye Fix using Genetic Algorithms,” Springer-Verlag Berlin Heidelberg, 2004, pp. 654-660.

[3] S.T. Lee and N.K. Liu, “Tropical Cyclone Identification and Tracking System using Integrated Neural Oscillatory Elastic Graph Matching and Hybrid RBF Network Track Mining Techniques,” IEEE Transactions on Neural Networks, Vol. 11, Issue 3, May 2000, pp. 680-689.

[4] S.T. Lee and N.K. Liu, “An Elastic Contour Matching Model for Tropical Cyclone Pattern Recognition,” IEEE International Conference on Systems, Man, and Cybernetics, Vol. 31, 2001, pp. 413-417.

[5] M.I. Hossain, J. Liu and J. You, “Tropical Cyclone Pattern Recognition for Intensity and Forecasting Analysis from Satellite Imagery,” IEEE International Conference on Systems, Man, and Cybernetics, Vol. 6, 12-15 Oct 1999, pp. 851-856.

國際替代計量

颱風雲圖快速搜尋與颱風路徑重建

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