進階搜尋


下載電子全文  
系統識別號 U0026-1502201211214200
論文名稱(中文) 衛星影像雲影區域之色彩補償演算法
論文名稱(英文) A Cloud Shadow Compensation Algorithm for Satellite Images
校院名稱 成功大學
系所名稱(中) 測量及空間資訊學系碩博士班
系所名稱(英) Department of Geomatics
學年度 100
學期 1
出版年 101
研究生(中文) 蔡宜均
研究生(英文) I-Chun Tsai
學號 P66981097
學位類別 碩士
語文別 英文
論文頁數 60頁
口試委員 指導教授-林昭宏
口試委員-張智安
口試委員-朱宏杰
中文關鍵字 衛星影像  陰影偵測  陰影補償  帕森方程式 
英文關鍵字 Satellite Images  Shadow Detection  Shadow Compensation  Poisson Equation 
學科別分類
中文摘要 伴隨近年測量技術及感測設備發展迅速,衛星影像引起大量關注並廣泛使用於多項應用範疇,例如:土地利用偵測、環境變遷偵測與軍事監控等。然而衛星影像常出現雲層視覺遮蔽情形,尤以氣候潮濕的熱帶地區雲量遮蔽問題越發嚴重,限制了衛星影像的使用亦增加影像分析之困難。本論文將提出一衛星影像雲影區域之色彩補償演算法,期許減少因雲影覆蓋而造成之影響。在此方法中,陰影區域之像素強度以統計方法與全球性優化過程進行補償處理。其色彩補償將透過帕森方程式於梯度影像中尋求邊界最佳解,通過色彩調整和帕森方程式求解的過程,可進一步獲得被偵測到陰影區域之補償影像梯度及經色彩補償的影像成果。本研究針對美國地質調查局(U.S. Geological Survey,簡稱USGS) 網站所下載之Landsat-7衛星影像進行實驗分析,實驗結果顯示本法可以有效增顯補償衛星影像中的陰影像素,並以視覺成果檢驗一模擬資料雲影補償之成效。
英文摘要 With the development of sensor equipment and surveying techniques, satellite images have drawn considerable attention. These images have been widely used in numerous applications, including land-use detection, environment change detection, and military monitoring. However, cloud covers are generally present in optical satellite images, particularly in humid tropical areas, thereby limiting the usage of optical images and increasing the difficulty of image analysis.
In this thesis, a cloud shadow compensation approach aimed at easing the difficulties attributed to cloud covers is introduced. In the proposed approach, the intensities of shadow pixels are compensated by a statistic adjustment method and a global optimization process. The problem of intensity compensation is formulated as a Poisson equation and then solved on the gradient domain. Through color adjustment and Poisson equation solving, a compensated gradient field, as well as a compensated color field, can be obtained for the detected shadow regions.
Experimental analyses on the satellite images acquired by the Landsat-7 Enhanced Thematic Mapper Plus (ETM+) sensor were conducted. The experimental results show that the proposed approach can successfully compensate for the intensities of shadow pixels. The evaluation of the proposed approach and the quantitative and qualitative analyses on simulated data were conducted via quality index and visual inspection, respectively.
論文目次 摘要 I
Abstract II
致謝 IV
Content V
List of Figures VII
List of Tables X
Chapter 1 INTRODUCTION 1
1.1 Motivation 1
1.2 Contribution 3
1.3 Research Flow 4
1.4 Thesis Framework 5
Chapter 2 RELATED WORKS 6
2.1 Cloud Shadow Detection 6
2.2 Cloud Shadow Recovery 8
Chapter 3 PROPERTIES OF LANDSAT-7 IMAGES AND SHADOWS 11
3.1 Landsat-7 Satellite Images 11
3.2 Causes and Characteristics of Cloud Shadow 14
Chapter 4 METHODOLOGY 16
4.1 Cloud Shadow Detection 16
4.1.1 Color Model Transformation 16
4.1.2 Cloud Shadow Detection 19
4.2 Cloud Shadow Removal 22
4.2.1 The Enhancement of Shaded Area 22
4.2.2 Adjustment of Gradient Values 25
4.2.3 Iteration Calculation 27
Chapter 5 ANALYSIS OF RESULTS AND DISCUSSION 29
5.1 Experimental Results 29
5.2 Comparative Results and Analysis 46
5.3 Discussion 51
Chapter 6 CONCLUSIONS AND FUTURE WORKS 55
6.1 Conclusions 55
6.2 Future Works 56
Reference 58
參考文獻 Adler-Golden, S. M., Matthew, M.W., Anderson, G. P., Felde, G.W., and Gardner, J. A. An algorithm for de-shadowing spectral imagery, Proceedings of the 11th JPL Airborne Earth Science Workshop. Pasadena, USA: JPL Publication pp. 3–4, 2002.
Boardman, J. W. Automating spectral unmixing of AVIRIS data using convex geometry concept, Summaries of the Fourth Annual Airborne Geoscience Workshop, JPL Pub. 93-26, Vol. 2, TIMS Workshop. Jet Propulsion Laboratory, Pasadena, CA, pp. 11-14, 1993.
Choi, S. I., Kim, C. H., and Choi, C. H. Shadow compensation in 2D images for face recognition, The Journal of the Pattern Recognition Society, Vol.40, pp. 2118-2125, 2006.
Chung, K.L., Lin, y.r., and Huang, Y. H. Efficient shadow detection of color aerial images based on successive thresholding scheme, IEEE Transactions on Geoscience and Remote Sensing, Vol. 47, No. 2, pp.671-682, 2009.
Cucchiara, R., Grana, C., Piccardi, M., Prati, A., and Sirotti, S. Improving shadow suppression in moving object detection with HSV color information, IEEE Intelligent Transportation Systems Conference Proceedings, pp. 334-339, 2001.
Gonzalez, R.C., and Woods, R.E. Digital image processing 2nd Edition, rentice-Hall, Upper Saddle River, NJ, 2002.
Jiang, C. X., and Ward, M. O. Shadow segmentation and classification in a constrained environment, CVGIP: Image Understanding, Vol.59, Issue.2, pp. 213-225, 1994.
McKenna, S. J., Jabri. S., Duric, Z., Wechsler, H., and Rosenfeld, A. Tracking groups of people, Computer Vision and Image Understanding, Vol. 80, No. 1, pp,42-56, 2000.
Otsu, N. A threshold selection method from gray-level histograms, IEEE Transaction on System, Man, and Cybernetics, Vol. 9, No. 1, pp. 62-66, 1979.
Perez. P., Gangnet. M. and Blake.A. Poisson image editing, ACM Transactions on Graphics, Vol. 22(3), pp. 313-318, 2003.
Polidorio, A. M., Flores, F. C., Imai, N. N., Tommaselli, A. M. G., and Franco, C. Automatic shadow segmentation in aerial color images, in Proc. XVI Brazilian Symp. Computer Graphics and Image Processing, pp. 270-277, 2003.
Rau, J. Y., Chen, N. Y., and Chen, L. C. True orthophoto generation of built-up areas using multi-view images, Photogrammetric Engineering and Remote Sensing, Vol. 68, pp. 581-588, 2002.
Shor, Y., and Lischinski, D. The shadow meets the mask: pyramid-based shadow removal, Computer Graphics Forum (Proc. of Eurographics), Vol. 27, pp,577-586, 2008.
Smith, A. R. Color gamut transform pairs, SIGRAPH, Vol. 3(ACM), Atalanta, GA, pp. 12–19, 1978.
Soh, Y. S., Lee, H. J., and Wang, Y. K. Invariant color model-based shadow removal in traffic image and a new metric for evaluating the performance of shadow removal methods, PRICAI: Trends in Artificial Intelligence, Vol. 4099, pp,544-552, 2006.
Tsai, v. J. D. A comparative study on shadow compensation of color aerial images in invariant color models, IEEE Transactions on Geoscience and Remote Sensing, Vol. 44(6), pp. 1661-1671, 2006.
張志瑋。空照影像陰影區塊之偵測和色彩修復之研究,國立成功大學測量及空間資訊學系碩士論文,2011。
蔡博閎。衛星影像雲層遮蔽區域之移除與填補演算法,國立成功大學測量及空間資訊學系碩士論文,2010。
論文全文使用權限
  • 同意授權校內瀏覽/列印電子全文服務,於2012-02-17起公開。
  • 同意授權校外瀏覽/列印電子全文服務,於2014-02-17起公開。


  • 如您有疑問,請聯絡圖書館
    聯絡電話:(06)2757575#65773
    聯絡E-mail:etds@email.ncku.edu.tw