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    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/51613


    Title: 面陣列熱影像特性之研究
    Research on characteristic of area-based thermal infrared images
    Authors: 那至中
    Contributors: 黃灝雄
    那至中
    Keywords: 面陣列熱像儀
    熱紅外影像
    率定
    Area-Based Thermal Sensor
    Thermal Infrared Image
    Calibration
    Date: 2009
    Issue Date: 2011-10-11 17:00:28 (UTC+8)
    Abstract: 熱紅外波段在遙感探測中佔有相當重要的地位,因其不受日夜條件限制,且因溫度變化時常具有與自然環境相關的特殊意義,使熱紅外影像可應用於測量、環境監控、都市開發、災害防治等領域。
    在判釋遙測影像之前,通常必先確定各波段影像的幾何性質一致,若想將熱紅外影像與可見光影像套疊,須先率定蒐集熱影像之儀器,使影像受儀器本身的影響減到最低。本研究以FLIR-T360紅外線熱像儀為研究對象,探討熱像儀的成像特性,且嘗試率定與改正蒐集之熱影像。
    率定熱像儀的實驗可分為幾何與輻射兩方面,幾何方面使用改良型的實地率定法,以求取熱像儀的內方位參數;輻射方面則使用實地調查法,求得控制點溫度,利用拍攝控制點蒐集多筆資料,擬合出輻射改正模型;本文亦展示熱影像幾何以及輻射改正後的成果。
    Thermal infrared data is important when conducting remote sensing investigation, for it could be acquired both in day and night. The change of temperature has characteristic significance of representing. So the thermal infrared images are used not only in the domain of surveying, but also in the environment monitoring, the urban development, and the disaster prevention.
    Before interpreting the remote sensing data, one would make sure that each image of bands has similar image geometry. Calibrating such geometry could prove that the effect from the lens distortion had been minimized. In such case, calibrated thermal images are necessary to guarantee that the image coordinates will correspond with the space coordinates as other bands.
    A thermal sensor, FLIR-T360 has been calibrated in this research. Two aspects of calibration executed are geometric and radiometric. A conventional calibrated template has been improved for using in the geometric aspect. The thermal sensor’s interior orientation elements were then found by using a field method. In the radiometric aspect, in situ method has been employed to determine temperatures of the chosen control points. The result of correction in geometric and radiometric aspect are also shown and discussed in this study.
    Reference: 一、中文部份
    李人豪,2006,「紅外線熱影像與數值模擬於孔洞檢測之研究」,國立成功大學土木工程研究所碩士論文,臺南。
    李洲亘,2006,「紅外線熱影像法參數設定與表層混凝土火害受損區域檢測」,朝陽科技大學營建工程研究所碩士論文,臺中。
    李進桂,2004,「以紅外線影像方法作精神狀態評估:初步探討」,國立成功大學工程科學研究所碩士論文,臺南。
    李意誠,2003,「應用紅外線熱影像技術於電力設備異常診斷之硏究」,國立臺北科技大學電機工程研究所碩士論文,臺北。
    李皞白,1998,「雙波段(3-5微米與8-12微米)紅外線熱影像之研究」,私立元智大學電機暨資訊工程研究所碩士論文,桃園。
    林雅萍,2006,「紅外線熱影像法在混凝土結構CFRP修補品質之評估」,國立中興大學土木工程研究所碩士論文,臺中。
    孫丕昌,2003,「紅外線熱像攝影及神經生理學檢查運用在高危險糖尿病足篩檢之臨床相關性」,國立陽明大學復健科技輔具研究所碩士論文,臺北。
    楊謹慎,2001,「紅外線熱影像分析在糖尿病足診斷應用」,國立成功大學醫學工程研究所碩士論文,臺南。
    劉華嶽,2009,『紅外線熱像儀在建築節能減碳上之應用理論、應用層面、實務案例』,臺北:詹氏書局。
    潘國樑,2006,「遙測學大綱」,科技圖書股份有限公司,臺北。
    鄭子揚,2005,「建築物之紅外線熱影像法檢測」,朝陽科技大學營建工程研究所碩士論文,臺中。
    二、英文部份
    Hovis, W. A., J. S. Knoll, and G. R. Smith, 1985, “Aircraft measurements for calibration of an orbiting spacecraft sensor”, Applied Optics, 24: 407-410.
    Huang H. H, 2009, Shadow Effects of Close Range Image Acquired by Area-Based Thermal Detectors, Paper presented at the 30th Asia Conference on Remote Sensing, Beijing, October 18-23.
    Jensen, J. R., 2005, Introductory digital image processing, 3rd Edition, U.S.A.: Pearson Education, Inc.
    Jensen, J. R., 2007, Remote sensing of the environment: an earth resource perspective, 2nd Edition, U.S.A.: Pearson Education, Inc.
    Kaufman, Y. J., and B. N. Holben, 1993, “Calibration of the AVHRR visible and near-IR bands by atmospheric scattering, ocean glint, and desert reflection”, International Journal of Remote Sensing, 14: 21-52.
    Lillesand, T. M., R. W. Kiefer, and J. W. Chipman, 2008, Remote Sensing and Image Interpretation, 6th Edition, N. Y.: John Wiley.
    Sabins, F. F. Jr., 1996, Remote Sensing Principles and Interpretation, 3rd Edition, N. Y.: Freeman.
    Schmugge, T., A. French, J. C. Ritchie, A. Rango, H. Pelgrum, 2002, “Temperature and Emissivity Separation from Multispectral Thermal Infrared Operations,” Remote Sensing of Environment, 79:189-198.
    Thome, K. J., 2001, “Absolute radiometric calibration of Landsat 7 ETM+ using the reflectance-based method,” Remote Sensing of Environment, 78: 27-38.
    Vermote, E., R. P. Santer, P. Y. Deschamps, and M. Herman, 1992, “In-flight calibration of large field of view sensors at short wavelengths using Rayleigh scattering”, International Journal of Remote Sensing, 13: 3409-3429.
    Weng, Q., L. Dengsheng, and J. Schubring, 2004, “Estimation of Land Surface Temperature – Vegetation Abundance Relationship for Urban Heat Island Studies,” Remote Sensing of Environment, 89:467-483.
    Wolf, P. R., and B. A. Dewitt, 2000, Elements of Photogrammetry with Application in GIS, 3rd Edition, U.S.A.: McGRAW-HILL Book Co.
    三、網頁部份
    Atkins, N., 2010, Chapter 2 – Energy: Warming the Earth and the Atmosphere - Greenhouse Effect and Global Warming , Retrieved May 26, 2010 from Lyndon State College Survey of Meteorology on the World Wide Web: http://apollo.lsc.vsc.edu/classes/met130/notes/chapter2/spectrum_interactive.html
    Danov, M., V. Tsanev, and D. Stoyanov, 2007, Measuring the spectral emissivity of rocks and the minerals that form them, Retrieved June 14, 2010 from SPIE Newsroom on the World Wide Web: http://spie.org//x14996.xml?highlight=x2420&ArticleID=x14996
    FLIR Systems(2009, September 8). Infrared Imaging Systems, Retrieved September 8, 2009 from FLIR Systems on the World Wide Web: http://www.FLIR.com
    Description: 碩士
    國立政治大學
    地政研究所
    97257025
    98
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0097257025
    Data Type: thesis
    Appears in Collections:[地政學系] 學位論文

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