The Algorithm of Measuring in Close-Range Photogrammetry Based on Grid

Article Preview

Abstract:

The Algorithm of Measuring in Close-Range Photogrammetry based on Grid [Purpos Due to the existence of various error sources in the close-range photogrammetry, the traditional photogrammetry algorithm cannot completely eliminate system error. The measurement precision often cannot reach the requirement and the calculation process is complicated. In order to solve this problem , a new measuring algorithm called grid measuring algorithm is presented in this papers. [MethoWe structures an ideal grid measuring space according to image point of the fixed point. Then the interested object points are mapped to the grid measuring space by the image points. We can get the position by fusing the value according to the distance to the nodes.For illustration,a photographic example is utilized to show the feasibility of the grid measuring algorithm.[Result The experimental results show that the error of grid measuring algorithm is controlled within half pixels. [ConclusionThe positioning precision of this algorithm is obviously superior to the traditional algorithm and the calculation is simple.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 756-759)

Pages:

542-545

Citation:

Online since:

September 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Junjian Lin, Guihua Chang. Photogrammetry. Beijing: National Defence Industry Press, (2006).

Google Scholar

[2] Zuxun Zhang, Jianqing Zhang. Digital Photometry. Wuhan: Wuhan University Press, (1997).

Google Scholar

[3] Ying Chen. Remote Sensing Image Digital Photogrammetry. Tongji University Press, (2003).

Google Scholar

[4] Zhoucheng Li. Intelligent Image Processing Technology. Beijing: Electronic Industry Press, (2004).

Google Scholar

[5] Liangzheng Xia. Digital Image Processing. Southeast University Press, (1999).

Google Scholar