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.

熱像儀，能感測可見光感測器無法取得的訊息，因此若能透過熱像儀器進行環境偵測，便能得到一般可見光感測器無法獲取的資料。本研究擬以四旋翼UAS酬載熱像儀得到局部區域高解析度之地面熱資訊以便作為地溫研究之背景資料使用。而一般地溫研究區，不易佈設控制點，因此本研究除於無人機上酬載熱像儀之外，並將搭載Trimble BD970 GNSS OEM接收模組，嘗試以少量地面控制點、以及GNSS動態後處理的方式取得取像時對應的GNSS觀測量輔助熱像定位定向。本研究中針對國立政治大學旁的指南溪實驗區與陽明山國家公園的小油坑實驗區，使用AI-RIDER YJ-1000-HC四旋翼UAS分別酬載熱像儀FLIR Tau 640和巨哥XM6，並且同時搭載Trimble BD970 GNSS OEM接收模組、以及GNSS動態後處理的方式取得取像時對應的GNSS觀測量搭配少量地面控制點輔助熱像定位定向，過程中透過三焦張量剔除自動匹配之誤匹配連結點。實驗結果顯示，兩實驗區所產製之DSM於不易變動區域精度經現有資料檢核均在±1m，而指南溪實驗區產製出地面解析度11公分的數值表面模型(Digital Surface Model, DSM)與正射熱像，且正射熱像平面精度達為47公分；小油坑實驗區產製出地面解析度14公分之DSM與正射熱像，正射熱像平面精度則為67公分，雖然DSM和正射熱像精度無法符合一般常規的測量規範，但成果仍然可以證明熱像直接產製DSM以及正射熱像之可行性，兩實驗區最後皆生成數值溫度表面模型(Digital Surface Temparature Model, DSTM)，顯示本研究所提方法之可行性，所生成之成果可供後續地溫研究使用。 / Thermal infrared images show the temperature change of sensed scenes. Therefore, thermal infrared camera can sense some important information that optical digital cameras cannot do for the environment monitoring. In this study, the Quadcopter UAS for thermal image collection applied to geothermal study will be developed. FIIR Tau 640 and Magnity Eletric XM6 thermal infrared sensor will be used in this thermal image collection system separately two test areas, Zhinan River nearby NCCU and Xiaoyoukeng, in the Yangmingshan National Park. Additionally, Trimble BD970 GNSS OEM board will be carried on the Quadcopter UAS to collect dual-frequency GNSS observations for determining the flying trajectory by Post-processed kinematic (PPK) technique to support the positioning and orientating of collected thermal images, and the trifocal tensor will be used to delete wrong matching tie images points. From the tests, the differences between produced DSM and existing DSM data are ± 1 m on uneasy change ground surface in two test areas. The resolution of produced DSM and thermal orthoimages are about 11 cm in Zhinan River, and 14cm in Xiaoyoukeng area. The accuracy of thermal orthoimages is 47cm in Zhinan River and 67cm in Xiaoyoukeng area. The accuracy of thermal orthoimages may not comply with a normal surveying standard, but it proves the possibility of DSM and orthorectifed thermal images generated from thermal images directly. Digital Surface Temparature Model (DSTM) produced in both tests can be used for volcanic geothermal monitoring in the future.