簡易檢索 / 詳目顯示
| 研究生： |
張家維 Chia-Wei Chang |
|---|---|
| 論文名稱： |
山區空照影像之植生變遷偵測 Vegetation Change Detection for Mountain Area in Aerial Image |
| 指導教授： |
鍾國亮
Kuo-Liang Chung |
| 口試委員: |
古鴻炎
Hung-Yan Gu 陳建中 Jiann-Jone Chen 賴榮滄 Zone-Chang Lai 陳世旺 Sei-Wang Chen |
| 學位類別： |
碩士 Master |
| 系所名稱： |
電資學院 - 資訊工程系 Department of Computer Science and Information Engineering |
| 論文出版年： | 2008 |
| 畢業學年度： | 96 |
| 語文別： | 中文 |
| 論文頁數： | 32 |
| 中文關鍵詞： | 色彩模式 、珈碼修正 、二值化影像 、單應性矩陣 、形態學 |
| 外文關鍵詞： | CIE Lab color model, Gamma correction, Binary image, Homography matrix, Morphology |
| 相關次數： | 點閱：402 下載：1 |
| 分享至: |
| 查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報 |
影像處理是近年來很熱門的研究課題，應用的層面也十分的廣泛，不論在科學、工業、國防、娛樂、通訊以及醫學等各領域都佔有相當重要的地位。台灣近年土石流的情況每年都愈來愈嚴重，大部分皆起因於山區樹林的濫墾濫伐，因此我們的目標是利用各種影像處理的技術，發展出一套自動化的山區植生變遷偵測系統。只需將不同年度相同位置的兩張彩色影像透過影像處理程序，便可將該區域在這兩個年度間有變遷的區域定位出來，提供給相關管理單位一個查看的依據。由於不同年度所拍攝的照片有許多問題，例如：天候影響、亮度影響，甚至拍攝相機不同導致色彩上的偏差等等，都是在分析時所必須克服的問題。
Image processing has been a popular research topic in recent years and it is in widespread use, moreover, it plays an important role in many kinds of category like science, industry, national defense, communication and medicine. Mudflows and landslides become more and more serious in Taiwan. Mostly, mudflows and landslides are caused by cultivating farms and deforestation in areas where soil conservation should be maintained. In this thesis, the method proposed by us aims at utilizing various image processing tools and techniques to develop an automatic vegetation change detection system for mountain area which is capable of locating the change region based on two particular years aerial images but the same place of mountain area. Then the system provides a guideline to the relevant management. The photos taken by two particular years cause some problems. For examples: the weather influence, the brightness influence and the color difference caused by two different cameras are the problems which we need to overcome.
[1] 鍾國亮, 影像處理與電腦視覺, 第三版, 東華書局, 2006。
[2] A. A. Goshtasby, 2-D and 3-D image registration, Wiley-Interscience, 2004.
[3] G. Moser, S. Serpico, G. Vernazza, “Unsupervised change detection from multichannel SAR images,” IEEE Transcation on Geoscience and Remote Sensing Letter, 40(2), 2007, pp. 278-282.
[4] J. Inglada, G. Mercier, “A new statistical similarity measire for change detection in multitemporal SAR images and its extension to multiscale chane analysis,” IEEE Transaction on Geoscience and Remote Sensing, 45(5), 2007, pp. 1432-1445.
[5] K. I. Ranney, M. Soumekh, “Signal subspace change detection in averaged multilook SAR imagery,” IEEE Transaction on Geoscience and Remote Sensing, 11(1), 2006, pp. 201-213.
[6] O. Miller, A. Pikaz, A. Averbuch, “Objects based change detection in a pair of graylevel images,” Pattern Recognition, 38, 2005, pp. 1976-1992.
[7] Y. Bazi, L. Bruzzone, F. Melgani, “Automatic Identification of the number and values of decision thresholds in the log-ratio image for change detection in SAR images,” IEEE Transaction on Geoscience and Remote Sensing Letter, 3(3), 2006, pp. 349-353.
[8] S. S. Wilson, “Theory of matrix morphology,” IEEE Transaction on Pattern Analysis and Machine Intelligence, 14 (6), 1992, pp. 636-652.
[9] P. Maragos and R. W. Schafer, “Morphological systems for multidimensional signal processing,” Proc. IEEE, 78(4), 1990, pp.690-710.
[10] R. Hartley, A. Zisserman, Multiple view geometry in computer vision, Cambridge University Press, New York, 2000.
[11] R. W. G. Hunt, Measuring Colour, Second Edition, Ellis Horwood, 1991.
[12] R. W. G. Hunt, Measuring Colour, Third Edition, Fountain Press, 1998.
[13] R. C. Gonzalez, R. E. Woods, Digital Image Processing, Addison-Wesley, 1992.
