| 摘要(英) |
Because of the development of remote sensing technology, space-borne images have improved their resolution in the past decades. Remote sensing has many applications, such as land management, change detection, water resource and so on. Moreover, Taiwan is in the divergent boundaries. There are many earthquakes every year and some cause serious landslide. Change detection by remote sensing is an efficient approach to detect terrain features’ change and for environmental protection. We compare to images of the same region but collected at different times to detect the changes. However, images are diverse not only on ground condition, but also atmospheric conditions. How to increase the recognition rate between images is an important issue.
In this thesis, we reduce the atmospheric conditions based on color transform algorithm without using complex atmospheric parameters. Because of its simplicity, relative correction is commonly used recently. We first apply image fusion to enhance the resolution and match our images. Then, we adopt color transform and Whitening/Dewhitening method for correction based on the statistic of images. For applying the result in change detection, we use univariate image differencing to detect the difference between the images. Finally, quantitative analysis is conducted for performance comparison.
The image scenes used for experiments are in Central Cross-Island Highway of Taiwan during 921 chi-chi earthquake and Cao-ling area in Yunlin county. From the result, our method can reduce the atmospheric disturbances on the satellite images. It provides a procedural for correction algorithms and yields good quality and performance.
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| 參考文獻 |
[1] Ruderman, D.L., T.W. Cronin, and C.C. Chiao, Statistics of cone responses to natural images: implications for visual coding. JOSA A, 1998. 15(8): p. 2036-2045.
[2] Mayer, R., F. Bucholtz, and D. Scribner, Object detection by using whitening/dewhitening to transform target signatures in multitemporal hyperspectral and multispectral imagery. IEEE Transactions on Geoscience and Remote Sensing, 2003. 41(5): p. 1136-1142.
[3] Burt, P. and E. Adelson, The Laplacian pyramid as a compact image code. IEEE Transactions on Communications, 1983. 31(4): p. 532-540.
[4] 潘彥男, 利用電腦自動化對數值高程模作線形偵測. 國立中央大學碩士論文, 2006.
[5] Haydn, R., G. Dalke, J. Henkel, and J. Bare. Application of the IHS color transform to the processing of multisensor data and image enhancement. 1982.
[6] Reinhard, E., M. Adhikhmin, B. Gooch, and P. Shirley, Color transfer between images. IEEE Computer Graphics and Applications, 2001. 21(5): p. 34-41.
[7] Young, A.T., U.S.N. Aeronautics, and S. Administration, What Color is It?, National Aeronautics and Space Administration. 1988.
[8] 鄭柏左, 色彩理論與數位影像, 新文京開發. 2004.
[9] 黃耀賢, 有效的影像色彩轉換演算法. 國立中興大學碩士論文, 2009.
[10] Coppin, P.R. and M.E. Bauer, Digital change detection in forest ecosystems with remote sensing imagery. Remote Sensing Reviews, 1996. 13(3): p. 207-234.
[11] Mayer, R. and R. Priest, Object detection using transformed signatures in multitemporal hyperspectral imagery. IEEE Transactions on Geoscience and Remote Sensing, 2002. 40(4): p. 831-840.
[12] Murakami, T., Ohta, T., Kajisa, T., Mizoue, N., and Yoshida, S., Detection of Clear-Cut Areas Using the Image Differencing Method with LANDSAT/TM Data. Asian Journal of Geoinformatics, 2010. 10(1): p. 11-19.
[13] Saksa, T., J. Uuttera, T. Kolstrom, M. Lehikoinen, A. Pekkarinen, and V. Sarvi, Clear-cut detection in boreal forest aided by remote sensing. Scandinavian Journal of Forest Research, 2003. 18(6): p. 537-546.
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