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Control surface in aerial triangulation.

The Ohio State University.

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Control surface in aerial triangulation.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Control surface in aerial triangulation./
作者:	Jaw, Jen-Jer.
面頁冊數:	98 p.
附註:	Adviser: Anton F. Schenk.
Contained By:	Dissertation Abstracts International60-05B.
標題:	Engineering, Civil. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoeng/servlet/advanced?query=9931619
ISBN:	9780599317925

Control surface in aerial triangulation.
Jaw, Jen-Jer.

Control surface in aerial triangulation. - 98 p.

Adviser: Anton F. Schenk.

Thesis (Ph.D.)--The Ohio State University, 1999.

With the increased availability of surface-related sensors, the collection of surface information becomes easier and more straightforward than ever before. In this study, the author proposes a model in which the surface information is integrated into the aerial triangulation workflow by hypothesizing plane observations in the object space, the estimated object points via photo measurements (or matching) together with the adjusted surface points would provide a better point group describing the surface. The algorithms require no special structure of surface points and involve no interpolation process. The suggested measuring strategy (pairwise measurements) results in a quite fluent and favorable working environment when taking measurements. Furthermore, the extension of the model employing the the surface plane finds itself useful in tying photo models. The proposed model has been proven working by the simulation and carried out in the photogrammetric laboratory.

ISBN: 9780599317925Subjects--Topical Terms:

783781
Engineering, Civil.

Control surface in aerial triangulation.
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520 $a With the increased availability of surface-related sensors, the collection of surface information becomes easier and more straightforward than ever before. In this study, the author proposes a model in which the surface information is integrated into the aerial triangulation workflow by hypothesizing plane observations in the object space, the estimated object points via photo measurements (or matching) together with the adjusted surface points would provide a better point group describing the surface. The algorithms require no special structure of surface points and involve no interpolation process. The suggested measuring strategy (pairwise measurements) results in a quite fluent and favorable working environment when taking measurements. Furthermore, the extension of the model employing the the surface plane finds itself useful in tying photo models. The proposed model has been proven working by the simulation and carried out in the photogrammetric laboratory.
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