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研究生:李忠琅
研究生(外文):Chung-lang Lee
論文名稱:利用向量量化方法來重建定位颱風雲層影像
論文名稱(外文):Reconstruction of Located Typhoon Cloud Image by Vector Quantization Method
指導教授:包蒼龍包蒼龍引用關係
指導教授(外文):Tsang-Long Pao
學位類別:碩士
校院名稱:大同大學
系所名稱:資訊工程學系(所)
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2007
畢業學年度:95
語文別:英文
論文頁數:39
中文關鍵詞:向量量化颱風影像處理
外文關鍵詞:vector quantizationtyphoon
相關次數:
  • 被引用被引用:1
  • 點閱點閱:140
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  • 下載下載:12
  • 收藏至我的研究室書目清單書目收藏:0
颱風是大氣循環系統的重要部分,但是颱風也是一個具有巨大破壞力的天氣系統。颱風會帶來強風、豪雨、水災和海水倒灌等可怕的災害,為了預防以及減少颱風所帶來的災害,提早預測颱風動態是一個關鍵。颱風中心是一個用來預測颱風強度以及移動路徑非常重要的依據,因此有許多學者提出了從衛星影像中進行颱風中心的定位、颱風強度的估計和移動路徑預測的研究成果,另外也有需求要快速的傳送天氣狀況影像給有興趣的人。在我們的研究過程當中,我們加強了之前所用的薄片(slices)定位訓練的方法,並且使用對衛星影像的向量量化方法來重建不同區域及解析度的颱風影像。為了能夠快速的重建颱風,我們使用LBG演算法來做編碼簿的訓練。
為了實現所提出的颱風重建方法,我們運用了台灣中央氣象局所提供從1995年到2006年之間的71個颱風的紅外線衛星影像進行實驗,每個颱風包括成熟期到衰敗期之衛星圖像。根據實驗結果颱風重建的測試結果也符合我們的期望。
Typhoons are an important part of the atmospheric circulation system. Typhoons also are weather systems with vast destructive power. 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. The typhoon center is a very important indicator of typhoon central power estimation and moving path forecast. Many scholars made efforts in typhoon center location, typhoon intensity estimation and moving path prediction from the satellite images. Moreover, there is also a need to fast transfer the weather image to audience. In our research we enhance the previous slice location algorithm. In addition, we use the vector quantization to encode typhoon satellite image so as to implement fast reconstruction the typhoon satellite image. We applied our approach to reconstruct typhoon in different resolution and different region selected. In order to fast reconstruct the typhoon image, the LBG algorithm is used for codebook training. The infrared satellite images of 71 typhoons from mature period to decaying period during the time frame between 1995 and 2006 are used in this research. These image is provided by Central Weather Bureau of Taiwan are used. The experimental results are also agreed with our expectation in the reconstruction of typhoon cloud image.
ACKNOWLEDGMENTS i
ABSTRACT ii
摘要 iii
TABLE OF CONTENTS iv
LIST OF FIGURES v
CHAPTER 1 INTRODUCTION 1
1.1 Introduction 1
1.2 Motivation and Objective 2
1.3 Thesis Organization 3
CHAPTER 2 BACKGROUNDS 5
2.1 Typhoon Definition 5
2.2 Typhoon Location 6
2.3 Review of Image Reconstruction Methods 10
2.3.1 Data Compression 10
2.3.2 Vector Quantization 11
2.3.3 Codebook Design 11
CHAPTER 3 TYPHOON RECONSTRUCTION METHODS 13
3.1 Typhoon Recognition Enhancement 14
3.2 Typhoon Image Encoding with Vector Quantization 14
3.2.1 Image Division and Block Expanding 15
3.2.2 Minimal Square Euclidean Distance Computing 17
3.2.3 Generation of Block Index and Coordinate 17
3.3 Typhoon Image Decoding 17
3.4 Codebook Design 19
3.4.1 Initialization 19
3.4.2 LBG Algorithm 20
3.5 Reconstruction Region Selection 21
3.5.1 Reconstruction with Typhoon Radius 21
3.5.2 Reconstruction of Surrounded Cloud of a Typhoon 22
3.5.3 Reconstruction with Selected Region 24
CHAPTER 4 EXPERIMENTAIL RESULTS 26
4.1 Typhoon Cloud ImgeDatabase 26
4.2 Experimental Results of Typhoon Reconstruction 28
CHAPTER 5 CONCLUSION AND FUTURE WORK 31
REFERENCE 32
[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.
[6] N. M. Nasrabadi and R. A. King, “Image coding using vector quantization: a review,” IEEE Trans. On communications, vol. COM-.36, pp. 957-971, Aug 1988.
[7] Y. C. Lin, and S. C. Tai, "Afast Linde-Buzo-Gray Algorithm in Image Vector Quantization", IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, Vol. 45, no. 3, 1998, pp. 432-435
[8] Min-Yen Liu ” Locating and tracking of the typhoon from infrared satellite images” master thesis department of computer science and engineering, Tatung University
[9] Sayood, Khalid "Introduction to data compression" Morgan. Kaufmann, c2000
[10] A. Vasuki and P.T Vanathi “A review of vector quantization techniques” Potentials, IEEE, Volume 25, lssue 4, July-Aug. 2006 pp. 39-47
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