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研究生:許永昌
研究生(外文):Yung-chang Hsu
論文名稱:運用紅外線衛星雲圖進行颱風雲團識別
論文名稱(外文):Typhoon Cloud Identification from Infrared Satellite Images
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:2006
畢業學年度:94
語文別:英文
論文頁數:52
中文關鍵詞:颱風特徵衛星雲圖颱風識別
外文關鍵詞:features of typhoonsatellite cloud imagestyphoon cloud identification
相關次數:
  • 被引用被引用:0
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  • 下載下載:26
  • 收藏至我的研究室書目清單書目收藏:2
颱風在台灣是一種常見的天災。颱風帶來的充沛雨量讓台灣不受乾旱的威脅,但是一個威力強大的颱風往往在台灣各地造成巨大的災情,因此颱風預測便會顯得相當重要。颱風眼與雲層溫度變化的差異在颱風識別中是很重要的特徵,在本論文中,我們藉由分析紅外線衛星雲圖的方式,來找出颱風雲層在衛星影像上的特徵。許多研究都是利用切割過後的颱風雲層做颱風影像的定位,所以在衛星雲圖中,雲層的分離與切割是相當重要的一環。透過幾個前處理的方式,我們對颱風影像中的雲層做切割,同時,我們提出對所有切割雲層影像的像素作切片分層的分析,藉以觀察雲層溫度變化的範圍,最後找出颱風的雲層,並且透過颱風眼與颱風中心周圍像素值的差異來達到定位的效果。
Typhoon is a common nature disaster in Taiwan. However, typhoons also bring plenty rainfall so people in Taiwan do not have too worry about the drought. A strong typhoon will always make a serious destruction in its path. Therefore precise typhoon prediction is very important. The eye of the typhoon and the variation of the temperature change of cloud are important features in the typhoon identification. In this thesis, we analyze the infrared satellite cloud images and extract the features of typhoon in the satellite images. Many researchers used the segmented typhoon cloud images to locate the center of the typhoon. So separation and segmentation of the cloud in the satellite image are important topics in this thesis. Several preprocessing steps are done to facilitate the segmentation of the cloud from the typhoon images. Meanwhile, we present methods that analyzed all the segmented cloud slices based on pixel value and observe the cloud temperature change. Finally, we find the typhoon cloud and locate the center of typhoon according to the difference between the eye of the typhoon and the cloud around it.
ACKNOWLEDGEMENT i
摘要 iii
ABSTRACT iv
TABLE OF CONTENTS v
LIST OF FIGURES vi
CHAPTER 1 INTRODUCTION 1
1.1 Introduction of Typhoon 1
1.2 Motivation and Objectives 2
1.3 Thesis Organization 3
CHAPTER 2 BACKGROUNDS 4
2.1 Analysis of Tropical Cyclone from Multiple Datasets 4
2.2 Morphological Image Processing 7
2.3 Typhoon Rotation Feature 12
2.3.1 Block Matching 12
2.3.2 Construction of the Rotation Circle Template 13
2.3.3 Features of Rotation 14
2.4 Circular Detection 15
2.4.1 Hough Transform for Circular Detection 15
2.4.2 Randomized Circle Detection 16
2.4.3 Thomas-Chan's Algorithm 18
CHAPTER 3 EXTRACTING FEATURES OF TYPHOONS 20
3.1 Pre-processing 20
3.1.1 Luminance Scaling 20
3.1.2 Binarization 21
3.2 Line Elimination and Image Segmentation 22
3.2.1 Erosion 22
3.2.2 Extraction of Connected Components and Region Growing 24
3.2.3 Extraction Cloud Areas 25
3.3 Searching the Possible Typhoon 27
3.3.1 Checking the Temperature Range by Slicing and Finding the Circle Features 27
3.3.2 Identifying the Typhoon and Typhoon Eye 31
CHAPTER 4 EXPERIMENTAL RESULTS 33
CHAPTER 5 CONCLUSION AND FUTURE WORK 39
REFERENCE 40
[1]Ping Wang, Pei-Long Yang, Wen-Li Li, Han-Qing Lu, “Extracting the rotation feature of the developing typhoon,” Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on Volume 8, 18-21 Aug. 2005 Page(s):5229 - 5234 Vol. 8
[2]http://www.srh.noaa.gov/jetstream/tropics/tc.htm
[3]Daniel Walsha, Adrian E. Raftery, “Accurate and efficient curve detection in images: the importance sampling Hough transform,” Pattern Recognition, Vol. 35, pp 1421 – 1431, 2002.
[4]Teh-Chuan Chen, Kuo-Liang Chung, “An Efficient Randomized Algorithm for Detecting Circles,” Computer Vision and Image Understanding 83, 172–191 (2001).
[5]Hyo-Suk Lim, Gi-Hyuk Choi, Hong-Yul Paik, “Characteristic structures of Typhoon Jelawat observed by OSMI, TRMM/PR and QuikSCAT,” Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International Volume 2, 9-13 July 2001 Page(s):661 - 663 vol.2
[6]Q.P. Zhang, L.L. Lai, W.C. Sun, “Intelligent Location of Tropical Cyclone Center,” Proceedings of the Fourth International Conference on Machine Learning and Cybernetics, 2005, pp.:423-428, vol. 1.
[7]Raymond S. T. Lee, James N. K. Liu, “An elastic contour matching model for tropical cyclone pattern recognition,” IEEE Transactions on Systems, Man, and Cybernetics, 2001, pp.413-417
[8]Poon, J.C.H.,Chau, C.P., Ghadiali, M., “Using fuzzy mathematical morphology for locating tropical cyclones in satellite imagery,” IEEE International Symposium on Circuits and Systems, pp.:1353- 13561997, vol.2.
[9]Zhengguang Liu, Bing Wu and Juntao Xue, “The Non-eye typhoon Center Locating with Parallel Computing,” Proceedings of the Fourth International Conference on Parallel and Distributed Computing, Applications and Technologies, 2003, pp.:488-491.
[10]Tsuguteru Hiraoka, Hioroshi Maeda, Norikazu Ikoma, “Two-stage prediction method of typhoon position by fuzzy modeling. ~Fusion of outline prediction and detailed prediction~,” Proceedings of Systems, Man, and Cybernetics, 1999, pp.:581-585, vol.6.
[11]Matsuoka, T., Sato, K., Kojima, S., Fujii, S., “HF Ocean Radar Observation of Surface Currents Induced by a Typhoon in the East China Sea,” Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International, Volume 7, 21-25 July 2003 Page(s):4280 - 4282 vol.7
[12]Stephen R. Guimond, F. Joseph Turk, Clay B. Blankenship, Jeffrey D. Hawkins, “Detecting Tropical Cyclone Structural Change with the TRMM Precipitation Radar (PR) and Advanced Microwave Sounding Unit (AMSU).”
[13]Schulz-Stellenfleth J., Niedermeier A., Lehner S., Horstmann J., “Investigation of typhoons using ERS-2 SAR Wave Mode Data,” Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International Volume 3, 2004 Page(s):1892 - 1895 vol.3 Digital Object Identifier 10.1109/IGARSS.2004.1370710
[14]Adams I.S., Hennon C.C., Jones W.L., Ahmad K.A., “Evaluation of Hurricane Ocean Vector Winds From WindSat,” Geoscience and Remote Sensing, IEEE Transactions on Volume 44, Issue 3, March 2006 Page(s):656 - 667 Digital Object Identifier 10.1109/TGRS.2005.862506
[15]JongJin Park, Kyung-Ae Park, Kuh Kim, Yong-Hoon Youn, “Statistical Analysis of Upper Ocean Temperature Response to Typhoons from ARGO floats and Satellite data,” Geoscience and Remote Sensing Symposium, 2005. IGARSS '05. Proceedings. 2005 IEEE International Volume 4, 25-29 July 2005 Page(s):2564 – 2567
[16]Snoeij P., Attema E., Hersbach H., Stoffelen A., Crapolicchio R., Lecomte, P., “Uniqueness of the ERS Scatterometer for nowcasting and typhoon forecasting,” Geoscience and Remote Sensing Symposium, 2005. IGARSS '05. Proceedings. 2005 IEEE International Volume 7, 25-29 July 2005 Page(s):4792 – 4795
[17]Edwin S.T. Lai, “TREC Application in Tropical Cyclone Observation,” ESCAP/WMO Typhoon Committee Annual Review (1998)
[18]M. D. Powell, S. H. Houston, L. R. Amat, and N. Morisseau-Leroy, “The HRD real-time hurricane wind analysis system,” J. Wind Eng. Indust. Aerodynam., vol. 77 & 78, pp. 53–64, 1998.
[19]Rafael C. Gonzalez and Richard R. Wood., Digital Image Processing, Second Edition., Addison Wesley.
[20]1S.M. Thomas and Y.T Chan, “A Simple Approach for the Estimation of Circular Arc Center and its Radius, ” Computer Vision, Graphics and Image Processing, vol. 45, pp. 362-370, 1989.
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