以影像控制區塊解算航攝影像外方位參數實用策略

Strategic Study on the Photo Orientation employing Control Patches

陳詹閔(CHAN-MIN CHEN)

指導教授 ： 趙鍵哲

國立臺灣大學/工學院/土木工程學研究所/碩士(2006年)

https://doi.org/10.6342/NTU.2006.00411

摘要

利用既有圖資為控制資料完成新拍影像的定位，為一實用的研究課題，以自動化程序讀取控制實體資料庫中存放的相關圖資，除提升蒐集效率外，更減少資料整理時人力的浪費。本研究利用影像控制區塊為控制資料，搭配研究發展之匹配策略，以自動化方式量測共軛點，並解算影像外方位。基於實用性考量，本研究發展之操作系統具備人機檢核界面與變遷點回饋機制，尚可提供人工、半自動或全自動匹配三種模式量測共軛點，量測方式的彈性調變可更貼近實務需求。由實際資料測試成果得知，以全自動匹配模式進行解算之影像外方位可達次像元(sub-pixel)等級之平面定位精度；高程約1~2個像元之定位精度，證實以影像控制區塊解算航攝影像外方位參數具備高效能全自動化能力。

關鍵字

控制實體 ； 影像控制區塊 ； 匹配

並列摘要

Orienting the photogrammetric imagery by means of existing control entities is one of practical issues which aim to automatically acquire the control information from the database and perform the photo measurements in an attempt to reduce the labor involvement, as well as to promote the working efficiency towards orientation solutions. The author investigates in this study the strategic algorithms where the exterior orientations of the aerial photographic imagery are solved by matching with control patches. The proposed working scheme features itself with the designed platform of the human-machine interface where the measurements of control patches on the imagery can be achieved by through manual, semi-automatic, or fully automatic mode. Furthermore, the disagreements of control patches against the imagery, usually the phenomena of the scene change, are able to be identified and fed back to the system. The experiments show that the positioning quality of oriented imagery performed under the proposed scheme can reach up to sub-pixels and one to two pixels in horizontal and vertical components, respectively, a satisfaction towards orienting the imagery.

並列關鍵字

Control Entities ； Control Patches ； Matching

參考文獻

王正忠，2002。以近景攝影測量進行模型式建物重建，國立成功大學測量工程研究所碩士論文

彭念豪，2005。以控制直線進行影像外方位參數求解之自動化作業，國立台灣大學土木研究所碩士論文。

Canny, J., 1986. A Computational Approach to Edge Detection, IEEE Trans. Pattern Analysis and Machine Intelligence, 8(6): 679-698.

Ebner, H. and T. Ohlhof, 1994. Utilization of Ground Control Points forImage Orientation without Point Identification in Image Space, International Archives of Photogrammetry and Remote Sensing,ISPRS Commission III Symposium, Munich, Sep, Vol. 30, Part3/1, pp.206-211.

H hle, J., 1999. Automatic Orientation of Aerial Image on Database Information, European Organization for Experimental Photogrammetric Research, Vol. 36, pp.71-117.