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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 趙鍵哲(Jen-Jer Jaw) | |
| dc.contributor.author | Kuan-Chen Lee | en |
| dc.contributor.author | 李冠臻 | zh_TW |
| dc.date.accessioned | 2021-06-17T06:21:11Z | - |
| dc.date.available | 2020-08-24 | |
| dc.date.copyright | 2018-08-24 | |
| dc.date.issued | 2018 | |
| dc.date.submitted | 2018-08-19 | |
| dc.identifier.citation | Agrafiotis, P., and Georgopoulos, A., 2015. Camera constant in the case of two media photogrammetry. The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 40(5):1-6. Alpers. W., and Hennings, I. 1984. A theory of the imaging mechanism of underwater bottom topography by real and synthetic aperture radar. J. Geophys. Res., 89(C6):10529-10546. Blondel, P., 2000. Automatic mine detection by textural analysis of cots sidescan sonar imagery, Int. J. Remote Sens., 21(16):3115–3128. De Loor, G. P., and Brunsveld van Hultan, H. W., 1978. Microwave measurements over the North Sea. Boundary Layer Meteorol., 13:113-131. Fryer, J.G., and Kniest, H.T., 1985. Errors in depth determination caused by waves in through-water photogrammetry, The Photogrammetric Record, 11:745-753. Glassner, A.S., 1989. An Introduction to Ray Tracing: Surface Physics for Ray Tracing, Harcourt Brace Jovanovich Publishers, pp. 137-141. Hennings, I., 1998, An historical overview of radar imagery of sea bottom topography, International Journal of Remote Sensing, 19(7):1447-1454. Hughes Clarke, J.E., Mayer, L.A., and Wells, D., 1996. Shallow-water imaging multibeam sonars: A new tool for investigating seafloor processes in the coastal zone and on the continental shelf, Geophys. Res., 18(6):607–629. Kotowski, R., 1987. Zur Berücksichtigung lichtbrechender Flächen im Strahlenbündel, Schriftreihe der DGK, Reihe C, Vol. 330. Lee, K. C., and Jaw, J. J., 2017. Quality and Effectiveness of Geometric Approach Solving Water Surface and Underwater Object Points. In 38th Asian Conference on Remote Sensing (ACRS2017), New Delhi, India. Lee, K. C., and Jaw, J. J., 2018. Water Surface Determination through Photogrammetric Intersection Employing Control Information, International Symposium on Remote Sensing(ISRS2018), Pyeongchang, Korea. Maas, H.G., 1992. Digitale Photogrammetrie in der Dreidimensionalen Strömungsmesstechnik. Ph.D. Dissertation, ETH Zürich, Zürich, Switzerland. Maas, H.G., 1995. New developments in multimedia photogrammetry, Optical 3-D Measurement Techniques III, Wichmann Verlag, Karlsruhe. Maas, H.G., and Gruen, A., 1995. Digital photogrammetric techniques for high-resolution 3-D flow velocity measurements. Opt. Eng. 34(7):1970-1976. Maas, H.G., 2015. On the Accuracy Potential in Underwater/Multimedia Photogrammetry. Sensors, 15:18140-18152. Mulsow, C., 2010. A Flexible Multi-media Bundle Approach, International Archives of Photogrammetry and Remote Sensing, ISPRS 2010 Congress, Vol. XXXVIII, Part 5, Newcastle upon Tyne, UK, pp. 472-477. Murase, T., Tanaka, M., Tani, T., Miyashita, Y., Ohkawa, N., Ishiguro, S., Suzuki, Y., Kayanne, H., and Yamano, H., 2008. A photogrammetric correction procedure for light refraction effects at a two-medium boundary, Photogrammetric Engineering and Remote Sensing, 74(9):1129-113. Okamoto, A., and Höhle, J., 1972. Allgemeines analytisches orientierungsverfahren in der zwei- und mehrmedien-photogrammetrie und seine erprobung, Bildmessung und Luftbildwesen. Rinner, K., 1948. Abbildungsgeste und Orientierungsaufgaben in der Zweimedienphotogrammetrie; Österreichischen Zeitschrift für Vermessungswesen, Sonderheft Nr. 5. Roberts, A. C. B., 1999. Shallow water bathymetry using integrated airborne multi-spectral remote sensing. International Journal of Remote Sensing, 20(3):497-510. Shih, P. T. Y., Chen, Y. H., and Chen, J. C., 2014. Historic Shipwreck Study in Dongsha Atoll with Bathymetric LiDAR, Archaeol. Prospect, (21):139-146. Telem, G., and Filin, S., 2010. Photogrammetric modeling of underwater environments, ISPRS J. Photogramm. Remote Sens., 65:433-444. Wang, C. K., and Philpot, W. D., 2007. Using airborne bathymetric lidar to detect bottom type variation in shallow waters. Remote Sensing of Environment, 106(1):123-135. Wynn, R.B., Huvenne,V. A. I., Le Bas, T. P., Murton, B. J., Connelly, D. P., Bett, B. J., Ruhl,H. A., Morris, K. J., Peakall, J., Parsons,D. R., Sumner, E. J., Darby, S. E., Dorrell, R. M., and Hunt, J. E., 2014. Autonomous Underwater Vehicles (AUVs): Their past, present and future contributions to the advancement of marine geoscience, Marine Geology, 352:451–468. Yang, J., Zhang, J., and Meng, J., 2010. Underwater topography detection of Taiwan Shoal with SAR images. Chin. J. Oceanol. Limn., 28:636–642. 邱庭萱，2016。以攝影測量進行水位面及水下物點坐標解算，臺灣大學土木工程學研究所學位論文。 邱庭萱、趙鍵哲，2016。以攝影測量進行水面及水下物點定位分析，第三十五屆測量及空間資訊研討會，論文集，國立政治大學。 欽桂勤、黃桂平、張永生，2011。雙介質攝影測量共線理論研究，測繪學報，40(3)：351-358。 黃聖日、趙鍵哲，2014。自空氣往水中之攝影測量前方交會定位分析，第三十三屆測量及空間資訊研討會，論文集，國立臺灣大學。 | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/72057 | - |
| dc.description.abstract | 當攝影測量施作於多介質環境時，根據成像光線行經不同介質產生折射效應，於兩介質交界處發生路徑偏折，惟有正確地描述光線在不同介質中的幾何模式，才能獲致良好的物像對應關係。本研究旨在處理自空氣往水中拍攝的光學框幅式影像，透過光學成像幾何，在影像內外方位參數已知的條件下，進行水位面高度及水下物點坐標解算任務；並引入帶有約制條件的廣義最小二乘平差法，以妥善處理光學路徑中各隨機量以及考量讓物空間場景所提供的控制資訊能助益於整體求解成效。實驗內容包括(1).模擬資料建構場景資料，並利用平差模式，分析在各項參數變動下的參數解算品質，進而歸納出在雙像交會模式下，各項可能對於求解成果具有影響力之參數，其影響程度之多寡，歸結定性及定量分析。並進一步分析比較。(2).以實測場景驗證成果品質，展現本研究方法之可執行性及有效性。 | zh_TW |
| dc.description.abstract | To achieve correct photogrammetric measurement results in multi-media environments, where the camera and the object of interest are not as usual in the same optical media, the multi-media geometry has to be incorporated into geometric models. Therefore, the extension of standard photogrammetric imaging models by Snell’s Law for the handling of refraction effects is absolutely required. This study aims to determine the underwater object points and the water surface simultaneously through optical frame imagery in air-to-water photogrammetry with known orientation parameters. Besides, the generalized least-squares adjustment with constraint is drawn into the adjustment model not only to enable the uncertainties of orientation parameters, refractive index, and image point measurement to be individually or unitedly considered, but also to offer great flexibility in adopting prior information of parameters for analyzing the effectiveness of control information. The results from this study report both the qualitative discussions of solvability as well as the strategies solving for reducing high-conditioned geometry, and the quantitative analysis of the quality of determined underwater object points and the water surface. Apart from the analysis revealed from the simulation data, experimental tests in real scene are also conducted to show the feasibility and validity of the proposed methods. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-17T06:21:11Z (GMT). No. of bitstreams: 1 ntu-107-R05521120-1.pdf: 8276798 bytes, checksum: 0d8ef12e08adc5b3bff26698de2328c3 (MD5) Previous issue date: 2018 | en |
| dc.description.tableofcontents | 中文摘要 I ABSTRACT II 目 錄 III 圖目錄 V 表目錄 VII 第一章 緒論 1 1.1 研究背景 1 1.2 研究動機 2 1.3 研究方法 3 1.4 論文架構 5 第二章 文獻探討 6 第三章 研究方法 8 3.1 光線追蹤法 8 3.1.1 正向追蹤 (forward ray tracing，FRT) 9 3.1.2 光源追蹤或背向追蹤 (backward ray tracing，BRT) 11 3.1.3 AFRT(Alternating forward ray tracing) 12 3.2 自空氣往水中物像對應數學模式 13 3.2.1 模擬資料像點坐標來源 13 3.2.2 自空氣往水中前方交會 16 3.3 帶有約制之廣義最小二乘平差模式 16 3.4 解算系統分析 20 3.5 物點配置之不可解性分析 20 3.6 條件數 21 第四章 成果分析及討論 22 4.1 模擬資料場景介紹 23 4.1.1 內外方位參數與折射係數 23 4.1.2 精度評估指標 24 4.2 模擬資料實驗成果及分析 25 4.2.1 水下物點成像結果 25 4.2.2 以條件數判斷幾何穩定度 28 4.2.3 水下物點坐標對應水位面高度之相關性分析 29 4.2.4 目標參數前方交會定位品質分析 31 4.2.5 影響因子誤差對前交定位品質影響 33 4.2.6 以不同種類的控制資訊前交之水位面及水下物點定位解算 41 4.2.7 以不同品質的控制資訊前交之水位面及水下物點定位解算 43 4.2.8 以特定點進行單介質/水位面已知/自空氣往水中前交定位分析 45 4.2.9 以無誤差之控制資訊約制前交之水位面及水下物點定位解算 49 4.2.10 以不同品質的水位面觀測量約制前交定位解算 51 4.2.11 多點前交對應水位面高度定位品質(σd)分析 55 4.2.11.1 以不同點數之無誤差控制點前交於水位面及水下物點 56 4.2.11.2 以不同點數之多點已知水深資訊前交於水位面及水下物點 57 4.2.11.3 以不同幾何之多點已知水深資訊前交之水位面及水下物點 57 4.2.12 聯合約制條件前交定位成效分析 59 4.3 實際資料場景介紹 63 4.3.1 實驗場景及設計 63 4.3.2 控制點、檢核點及水位面量測 66 4.3.3 水下物點於影像上之成像狀況 68 4.3.4 影像外方位參數解算及品質評估 69 4.4 實際資料實驗成果及分析 71 4.4.1 目標水下物點可解性分析 71 4.4.2 水下物點坐標對應水位面高度之相關性分析 72 4.4.3 目標參數前方交會定位品質分析 73 4.4.4 聯合約制條件前交定位成效分析 84 4.5 實驗總結 89 第五章 結論與建議 91 5.1 結論 91 5.2 建議 93 參考文獻 94 | |
| dc.language.iso | zh-TW | |
| dc.subject | 折射 | zh_TW |
| dc.subject | 水下物點 | zh_TW |
| dc.subject | 水位面 | zh_TW |
| dc.subject | 約制 | zh_TW |
| dc.subject | 控制資訊 | zh_TW |
| dc.subject | Refraction | en |
| dc.subject | Underwater object point | en |
| dc.subject | Water surface | en |
| dc.subject | Constraint | en |
| dc.subject | Control information | en |
| dc.title | 以光學框幅式影像解算水位面及水下物點三維坐標 | zh_TW |
| dc.title | Solving Water Surface And Underwater Object Points Through Optical Frame Imagery | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 106-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 蔡展榮(Jaan-Rong Tsay),邱式鴻(Shih-Hong Chio) | |
| dc.subject.keyword | 折射,水下物點,水位面,約制,控制資訊, | zh_TW |
| dc.subject.keyword | Refraction,Underwater object point,Water surface,Constraint,Control information, | en |
| dc.relation.page | 96 | |
| dc.identifier.doi | 10.6342/NTU201803979 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2018-08-19 | |
| dc.contributor.author-college | 工學院 | zh_TW |
| dc.contributor.author-dept | 土木工程學研究所 | zh_TW |
| 顯示於系所單位： | 土木工程學系 | |
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