(3.238.173.209) 您好!臺灣時間:2021/05/17 12:30
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果

詳目顯示:::

我願授權國圖
: 
twitterline
研究生:張嘉琳
研究生(外文):Chia-Lin Chang
論文名稱:可調式IHS-BT衛星光學及雷達影像融合技術研究
論文名稱(外文):A Multi-Optional Adjustable IHS-BT Approach for Optical and SAR Image Fusion
指導教授:林譽方林譽方引用關係
學位類別:碩士
校院名稱:清雲科技大學
系所名稱:資訊管理所
學門:電算機學門
學類:電算機一般學類
論文種類:學術論文
論文出版年:2012
畢業學年度:100
語文別:中文
論文頁數:71
中文關鍵詞:衛星影像融合合成孔徑雷達
外文關鍵詞:Satellite Image FusionSynthetic Aperture Radar
相關次數:
  • 被引用被引用:0
  • 點閱點閱:230
  • 評分評分:
  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:0
由於雷達電磁波的散射與反射機制,造成了SAR雷達影像與光學影像的影像解譯方式有非常大的差異。因此,在SAR雷達影像中整合光學影像以補充地表相關資訊,即可強化我們對於SAR雷達影像特徵結構的瞭解。為了完成以上之目標,本研究除了詳述了雷達影像與光學影像的特性之外,還提出了一個具有多種選擇調整機制的影像融合方法--「擴充光譜調整的IHS-BT方法」,此方法利用二個可調參數的設定而提供了「衛星光學全色態影像與多光譜影像融合」、「衛星光學多光譜影像與SAR雷達影像融合」、「衛星光學全色態影像與SAR雷達影像融合」、「衛星光學全色態影像、多光譜影像與SAR雷達影像融合」等四種影像融合方式。此外,從本研究之實驗成果看出,善加調整「衛星光學全色態影像、多光譜影像與SAR雷達影像融合」方法中光學全色態影像與SAR雷達影像的資訊融合比例,可以有效的輔助本研究對SAR雷達影像中空間細節及紋理特徵的理解。

It is well known that the photo-interpretation of radar images is substantially different from the optical images due to SAR’s scattering mechanism. Merging optical images with SAR imagery can provide complementary information in order to improve understanding the structure of the features within the SAR. To achieve the goal, this research has developed an extension model of the SA-IHS-BT approach (eSA-IHS-BT) with multi-optional adjustments for image fusion. The model provides four fusion methods of Pan-MS, SAR-MS, Pan-SAR and SAR-Pan-MS by setting two parameters. Apart from that, the SAR-Pan-MS image fusion method can show better performance in assisting SAR image understanding because of reasonable contents of spatial details and texture features by tuning one parameter for adjusting the proportion of Pan to SAR image information.

中文摘要...........................................i
英文摘要...........................................ii
誌  謝...........................................iii
目  錄...........................................iv
表 目 錄...........................................v
圖 目 錄...........................................vi
第一章 緒論......................................1
1.1 研究動機與目的............................1
1.2 文獻回顧..................................3
1.3 研究方法與流程............................6
第二章 衛星光學及雷達影像基本原理................7
2.1 遙感探測衛星介紹..........................8
2.2 衛星光學影像成像原理及特性................12
2.3 衛星雷達影像成像原理及特性................22
第三章 衛星光學及雷達影像融合技術................39
3.1 IHS衛星光學影像融合技術及其色偏調整.......39
3.2 IHS-BT衛星光學影像融合技術及其色偏調整....45
3.3 可調式IHS-BT衛星光學及雷達影像融合技術....49
第四章 融合影像成果分析..........................52
4.1 影像融合前置作業..........................53
4.2 實驗融合影像..............................54
4.3 實驗融合影像成果分析......................56
第五章 結論與建議................................67
參考文獻............................................69


[1]王志添,陳錕山,胡婕美,「多偏極雷達影像斑駁減抑之研究」,航測及遙測學刊,第十卷第二期,159~168頁,民國九十四年六月。
[2]洪浩倫,「利用多尺度匹配自動套疊衛星雷達影像」,中央大學,碩士論文,民國九十六年六月。
[3]徐百輝,「大地的辨識密碼-高光譜影像」,國科會科學發展月刊,第416期,13~19頁,民國九十六年八月。
[4]張中白,「大地彩虹-合成孔徑雷達」,國科會科學發展月刊,第390期,18~23頁,民國九十四年六月。
[5]張嘉琳,蘇有,林譽方,杜德銘,「SAR雷達影像地表目標判讀研究」,清雲科技大學2011資訊管理實務研討會,323~335頁,桃園,民國一百年五月六日。
[6]薛家燕,「高精度光學與雷達影像相互輔助識別之研究」,國防大學理工學院,碩士論文,民國九十九年五月。
[7]A. Ardeshir Goshtasby, Stavri Nikolov, “Image fusion: Advances in the state of the art”, Information Fusion, Vol. 8, pp.114-118, April 2007.
[8]ASI, “COSMO-SkyMed SAR Products Handbook”, ASI-Agenzia Spaziale Italian, Roma, Italy, 2009.
[9]C. Pohl, and J. L. Van Genderen, “Multisensor Image Fusion in Remote Sensing: Concepts, Methods, and Applications”, International Journal of Remote Sensing , Vol. 19, pp. 823–854, 1998.
[10]Hofmann, O., P. Nave and H. Ebner, “DPS – A Digital Photogrammetric System for Producing Digital Elevation Models and Orthophotos by Means of Linear Array Scanner Imagery”, Photogrammetry and Remote Sensing, Vol. 50, pp.1135-1142, August 1982.
[11]Infoterra GmbH, “Radiometric calibration of TerraSAR-X data”, TSXX-TTD-TN-0049, Infoterra GmbH, Germany, October 2008
[12]Ledley, R. S., Buas, M., and Golab, T. J., “Fundamentals of True-Color Image Processing”, Pattern Recognition , Vol. 1, pp. 791–795, June 1990.
[13]Li, R., and G. Zhou, Yang, S., TUELL, G., SCHMIT, N. and FOWLER, C., “A Study of the Potential Attainable Geometric Accuracy of IKONOS Satellite Imagery”, Int. Archives of Photogrammetry and Remote Sensing, Vol. XXXIII, Part B4. Amsterdam, pp.587-595, 2000.
[14] Lillesand, T.M., Kiefer, R.W., “Remote Sensing and Image Interpretation, 6th Edition”, John Wiley & Sons., USA, October 2007.
[15]Morena, L., James, K., and K. Beck, “An Introduction to the RADARSAT-2 Mission”, Can. J. of Rem., Sens., Vol. 30, No. 3, June 2004.
[16]Nieke J., H. Schwartzer, A. Neumann, G. Zimmermann, “Imaging spaceborne and airborne sensor systems in the beginning of the next century”, The European Symposium on Aerospace Remote Sensing (IEE), Vol. 3221, pp. 581-592, September 1997.
[17]Seige, P., P. Reinartz and M. Schroeder, “The MOMS-2P mission on the MIR station”, Int. Archives of Photogrammetry and Remote Sensing, Vol.32, Part 1, Bangalore, India, February 1998.
[18]Te-Ming Tu, Ping-Sheng Huang, Chung-Ling Hung, and Chien-Ping Chang, “A Fast Intensity–Hue–Saturation Fusion Technique With Spectral Adjustment for IKONOS Imagery,” IEEE Geoscience and Remote Sencing Letters, pp. 309–312, October 2004.
[19]Te-Ming Tu, Shun-Chi Su, Hsuen-Chyun Shyu, and Ping-Sheng Huang, “A New Look at IHS-like Image Fusion Methods,” Information Fusion , pp. 177–186, April 2001.
[20]Te-Ming Tu, Wen-Chun Cheng, Chien-Ping Chang, Ping -Sheng Huang, and Jyh-Chian Chang, “Best Tradeoff for High-Resolution Image Fusion to Preserve Spatial Details and Minimize Color Distortion,” IEEE Geoscience and Remote Sencing Letters, pp. 302–306, April 2007.
[21]Te-Ming Tu, “SAR Basic”, 2008.
[22]Toutin, T., “Geometric Processing of Remote Sensing Images: Models Algorithms and Methods”, International Journal of Remote Sensing, Vol.25, No.10, pp1893-1924, 2004.
[23]Yangrong Ling, Manfred Ehlers, E. Lynn Usery, and Marguerite Madden, “FFT-enhanced IHS Transform Method for Fusing High-resolution Satellite Images”, ISPRS Journal of Photogrammetry & Remote Sensing, Vol. 61, pp. 381–392, February 2007.
[24]Yun Zhang, “Problems in the Fusion for Commercial High-resolution Satellite Images as well as Landsat 7 Images and Initial Solutions”, International Archives of Photogrammetry and Remote Sensing, Vol. 34, Part 4, July 2002.
[25]Yun Zhang, “Understanding Image Fusion”, Photogrammetric Engineering & Remote Sensing, Vol. 70, No. 6, pp.657-661, June 2004.
[26]Yun Zhang, and Gang Hong, “An IHS and Wavelet Integrated Approach to Improve Pan-sharpening Visual Quality of Natural Colour IKONOS and QuickBird Images”, Information Fusion, Vol. 6, pp. 225–234, September 2005.
[27]瑞士遙測軟體公司(民國一○○年),網址http://www.sarmap.ch
[28]歐洲雷達影像教育網(民國一○○年),網址http://www.radartutorial.eu
[29]Astrium公司(民國一○○年),網址http://www.astrium-geo.com/terrasar-x
[30]DigitalGlobe公司(民國一○○年),網址http://www.digitalglobe.com
[31]GeoEye公司(民國一○○年),網址http://www.geoeye.com
[32]MDA太空科技公司(民國一○○年),網址http://www.mdacorporation.com/corporate
[33]NSPO國家太空中心(民國一○○年),網址http://www.nspo.narl.org.tw


QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top