Oblique Aerial Image Relative Orientation Based on Fundamental Matrix

YUAN Xiuxiao; CHEN Shiyu; ZHONG Can

doi:10.13203/j.whugis20150174

Volume 41 Issue 8

Aug. 2016

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Geomatics and Information Science of Wuhan University > 2016 > 41(8): 995-1000. > DOI: 10.13203/j.whugis20150174

YUAN Xiuxiao, CHEN Shiyu, ZHONG Can. Oblique Aerial Image Relative Orientation Based on Fundamental Matrix[J]. Geomatics and Information Science of Wuhan University, 2016, 41(8): 995-1000. DOI: 10.13203/j.whugis20150174

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Oblique Aerial Image Relative Orientation Based on Fundamental Matrix

1.
School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430049, China
2.
Collaborative Innovation Center for Geospatial Technology, Wuhan 430049, China

Funds:

The National Key Developing Program for Basic Sciences of China 2012CB719902

the National Natural Science Foundation of China 41371432

National Science and Technology Major Project of China 50-H31D01-0508-13/15

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Author Bio:
YUAN Xiuxiao, PhD, professor. He is concentrated on the research and education in remote sensing, GPS and their integration. E-mail:yuanxx@whu.edu.cn
Received Date: March 13, 2016
Published Date: August 04, 2016

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Abstract

Abstract

To resolve the oblique image relative orientation problem, in this paper a novel method for relative orientation is proposed based on a fundamental matrix. Firstly, the fundamental matrix is constructed by direct linear transformation, then the elements of relative orientation are deduced with an optimal matrix. Accuracy factors are analyzed for this model, and finally, to get a more accurate solution deploying a rigorous model for relative orientation to the y-parallax, an iterative method is employed that takes elements derived from the essential matrix as the approximate values of the relative orientation elements. Experimental results show that our proposed method is feasible for both traditional aerial images and oblique images, and meets the requirements for stereo-model reconstruction in photogrammetric operations.
- oblique image,
- relative orientation,
- y-parallax,
- fundamental matrix

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References

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