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題名 以自率光束法提升四旋翼UAV航拍影像之定位精度
Using self-calibration to promote the positioning accuracy of images acquired from a quadrotor UAV
作者 謝幸宜
Hsieh, Hsing Yi
貢獻者 邱式鴻
Chio, Shih Hong
謝幸宜
Hsieh, Hsing Yi
關鍵詞 四旋翼
無人飛行載具
非量測型像機
自率光束法
Quadrotor
UAV
Non-metric Camera
Self-calibration
日期 2010
上傳時間 5-十月-2011 14:47:19 (UTC+8)
摘要   整合了GPS、INS的無人飛行載具(Unmanned Aerial Vehicles, UAVs),可提供安全、快速的資料蒐集方法,而能執行自動駕駛(automatic pilot)功能的UAV系統,更可提高資料蒐集的自動化程度。資料收集時,UAV系統中的GPS天線、INS系統以及像機的透視中心並不一致,欲以UAV系統執行航測任務時,須先了解UAV的系統幾何與特性,才能從GPS、INS的記錄資料中取得適當的外方位參數參考值。此外,目前的UAV系統多搭載非量測型像機(non-metric camera)獲取影像,但非量測型像機的內方位參數常以近景攝影測量的方式率定而得。然而,能以近景攝影測量方式獲得內方位參數的商業軟體很多,其所使用的函數模式卻未必完全相同,將影響內方位參數的率定成果,若再於空三平差過程中把不同軟體解得的內方位參數視為固定值,將使空三平差的結果產生較大的影像定位誤差。而自率光束法除了可用於近景攝影測量中的像機率定,也能應用於航空攝影測量中,將航測作業中的像坐標系統誤差模式化並加以改正,以提升該次作業的空三平差精度。因此,本研究以較安全的四旋翼UAV系統搭載非量測型像機獲取影像,比較:(1)一般航測方法(即光束法)執行空三平差、(2)使用自率光束法的空三平差、(3)先將所有影像觀測量以熟知的系統誤差模式改正後,再使用自率光束法的空三平差(以下簡稱預改正(pre-corrected)的自率光束法空三平差)所能達到的精度。測試結果顯示:使用預改正的自率光束法空三平差時,使用Brown(1976)與Ebner(1976)兩種附加參數模式,皆可得到最佳的空三平差精度,而使用Brown附加參數模式的自率光束法空三平差精度次之,且均比一般航測方法的空三平差精度佳。但於自率光束法的空三平差過程中使用Ebner的附加參數模式,所得的空三平差精度則最差。
Unmanned aerial vehicles (UAVs) integrating with GPS and INS provide a safe and fast method for data acquisition. The UAVs which can implement automatic pilot promote the automation of data collection. In UAV systems, the GPS antenna and the INS system are not aligned with the perspective center, so that the GPS and INS records should be revised according to the geometry of UAV systems for exterior orientation references. And the cameras equipped with UAVs are often belonging to the non-metric camera, whose interior orientation parameters can be acquired by close-range photogrammetry softwares. However, there are several different camera models used in the softwares and the interior parameters calibrated by different softwares would not be the same, so that the interior parameters of the non-metric camera should not be regard as constant in aerotriangulation. Self-calibration can not only calibrate the camera in close-range photogrammetry but also model and compensate the departures from collinearity in aerotriangulation to promote the positioning accuracy. This study uses the images acquired from a safe UAV system, a Quadrotor UAV, and compares the results by using different aerotriangulation procedures. In this paper, the optimal accuracy can be obtained by using self-calibration in bundle adjustment with all measurements been pre-corrected for radial and decentering lens distortion. And the suboptumal accuracy can be obtained by using Brown’s (1976) added parameters in bundle adjustment, better than the results of using bundle adjustment. But using Ebner’s (1976) added parameters in bundle adjustment cannot help promoting the positioning accuracy.
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趙弘文,2009,「無人旋翼機自動駕駛系統之研發」,國立成功大學航空太空工程研究所碩士論文:台南。
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描述 碩士
國立政治大學
地政研究所
97257024
99
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0972570241
資料類型 thesis
dc.contributor.advisor 邱式鴻zh_TW
dc.contributor.advisor Chio, Shih Hongen_US
dc.contributor.author (作者) 謝幸宜zh_TW
dc.contributor.author (作者) Hsieh, Hsing Yien_US
dc.creator (作者) 謝幸宜zh_TW
dc.creator (作者) Hsieh, Hsing Yien_US
dc.date (日期) 2010en_US
dc.date.accessioned 5-十月-2011 14:47:19 (UTC+8)-
dc.date.available 5-十月-2011 14:47:19 (UTC+8)-
dc.date.issued (上傳時間) 5-十月-2011 14:47:19 (UTC+8)-
dc.identifier (其他 識別碼) G0972570241en_US
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/51375-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 地政研究所zh_TW
dc.description (描述) 97257024zh_TW
dc.description (描述) 99zh_TW
dc.description.abstract (摘要)   整合了GPS、INS的無人飛行載具(Unmanned Aerial Vehicles, UAVs),可提供安全、快速的資料蒐集方法,而能執行自動駕駛(automatic pilot)功能的UAV系統,更可提高資料蒐集的自動化程度。資料收集時,UAV系統中的GPS天線、INS系統以及像機的透視中心並不一致,欲以UAV系統執行航測任務時,須先了解UAV的系統幾何與特性,才能從GPS、INS的記錄資料中取得適當的外方位參數參考值。此外,目前的UAV系統多搭載非量測型像機(non-metric camera)獲取影像,但非量測型像機的內方位參數常以近景攝影測量的方式率定而得。然而,能以近景攝影測量方式獲得內方位參數的商業軟體很多,其所使用的函數模式卻未必完全相同,將影響內方位參數的率定成果,若再於空三平差過程中把不同軟體解得的內方位參數視為固定值,將使空三平差的結果產生較大的影像定位誤差。而自率光束法除了可用於近景攝影測量中的像機率定,也能應用於航空攝影測量中,將航測作業中的像坐標系統誤差模式化並加以改正,以提升該次作業的空三平差精度。因此,本研究以較安全的四旋翼UAV系統搭載非量測型像機獲取影像,比較:(1)一般航測方法(即光束法)執行空三平差、(2)使用自率光束法的空三平差、(3)先將所有影像觀測量以熟知的系統誤差模式改正後,再使用自率光束法的空三平差(以下簡稱預改正(pre-corrected)的自率光束法空三平差)所能達到的精度。測試結果顯示:使用預改正的自率光束法空三平差時,使用Brown(1976)與Ebner(1976)兩種附加參數模式,皆可得到最佳的空三平差精度,而使用Brown附加參數模式的自率光束法空三平差精度次之,且均比一般航測方法的空三平差精度佳。但於自率光束法的空三平差過程中使用Ebner的附加參數模式,所得的空三平差精度則最差。zh_TW
dc.description.abstract (摘要) Unmanned aerial vehicles (UAVs) integrating with GPS and INS provide a safe and fast method for data acquisition. The UAVs which can implement automatic pilot promote the automation of data collection. In UAV systems, the GPS antenna and the INS system are not aligned with the perspective center, so that the GPS and INS records should be revised according to the geometry of UAV systems for exterior orientation references. And the cameras equipped with UAVs are often belonging to the non-metric camera, whose interior orientation parameters can be acquired by close-range photogrammetry softwares. However, there are several different camera models used in the softwares and the interior parameters calibrated by different softwares would not be the same, so that the interior parameters of the non-metric camera should not be regard as constant in aerotriangulation. Self-calibration can not only calibrate the camera in close-range photogrammetry but also model and compensate the departures from collinearity in aerotriangulation to promote the positioning accuracy. This study uses the images acquired from a safe UAV system, a Quadrotor UAV, and compares the results by using different aerotriangulation procedures. In this paper, the optimal accuracy can be obtained by using self-calibration in bundle adjustment with all measurements been pre-corrected for radial and decentering lens distortion. And the suboptumal accuracy can be obtained by using Brown’s (1976) added parameters in bundle adjustment, better than the results of using bundle adjustment. But using Ebner’s (1976) added parameters in bundle adjustment cannot help promoting the positioning accuracy.en_US
dc.description.tableofcontents 第一章 緒論 1
第一節 研究動機與目的 1
第二節 文獻回顧 3
第三節 研究方法與材料 8
第四節 論文架構 12
第二章 自率光束法 13
第一節 自率光束法原理 13
第二節 自率光束法的附加參數模式 16
第三節 自率光束法於商業軟體中之應用 21
第三章 四旋翼UAV系統與非量測型像機 25
第一節 UAV系統的分類 25
第二節 四旋翼UAV系統的飛航資料精度 28
第三節 非量測型像機的變焦、防手震、自動對焦功能 31
第四章 實驗成果與分析 35
第一節 像機率定結果比較 35
第二節 飛航規劃 46
第三節 光束法平差 52
第四節 自率光束法空三平差 60
第五節 預改正的自率光束法空三平差 69
第六節 空三平差結果比較 77
第五章 結論與建議 83
第一節 結論 83
第二節 建議 86
參考文獻 87
zh_TW
dc.language.iso en_US-
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0972570241en_US
dc.subject (關鍵詞) 四旋翼zh_TW
dc.subject (關鍵詞) 無人飛行載具zh_TW
dc.subject (關鍵詞) 非量測型像機zh_TW
dc.subject (關鍵詞) 自率光束法zh_TW
dc.subject (關鍵詞) Quadrotoren_US
dc.subject (關鍵詞) UAVen_US
dc.subject (關鍵詞) Non-metric Cameraen_US
dc.subject (關鍵詞) Self-calibrationen_US
dc.title (題名) 以自率光束法提升四旋翼UAV航拍影像之定位精度zh_TW
dc.title (題名) Using self-calibration to promote the positioning accuracy of images acquired from a quadrotor UAVen_US
dc.type (資料類型) thesisen
dc.relation.reference (參考文獻) 中文部分zh_TW
dc.relation.reference (參考文獻) 何維信,1988,「數位攝影機之率定問題」,行政院國家科學委員會專題研究計畫成果報告。zh_TW
dc.relation.reference (參考文獻) 何維信,1995,『航空攝影測量學』,國立編譯館主編,大中國圖書公司,台北。zh_TW
dc.relation.reference (參考文獻) 李德仁、袁修孝,2002,『誤差處理與可靠性理論』,武漢大學出版社:武漢。zh_TW
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