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Simulation of electro-optical imaging system based on OpenGL
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Paper Abstract

With the development of electro-optical imaging system technology and simulation technology, and the demand of optimizing the new type electro-optical imaging system theoretical model, more and more scientific research institutes, colleges and universities research on the simulation of electro-optical imaging system, and the better results were obtained. Simulation technology saved the cost of system design development, meanwhile, some complex and hard to re-implement experiments can be carried repeatedly. According to the demand of complex environment construction technology and the requirement of imaging simulation system fidelity, considering the performance of electro-optical imaging system, an electro-optical imaging system is modeled. The modeling has two aspects which is scene characteristic modeling and electro-optical system modeling. Scene characteristic modeling can construct dynamic scenes in different kinds of complex environments by using powerful OpenGL three-dimension model visualization technology. Electro-optical system modeling is consist of optical system and imaging detector. Electro-optical imaging system simulation model is established with the analysis of electro-optical imaging system theory. The use of modular design concept and general interface technology is combined. Different imaging effect is received under different parameters by modifying the model’s related parameters. The experimental results show that, the image produced from simulation basically reflects the performance of imaging system, so this kind of image can be used as a information source for imaging system performance analysis. It provides a simple and feasible method for the analysis of imaging system performance, which has a very important practical significance.

Paper Details

Date Published: 21 August 2013
PDF: 8 pages
Proc. SPIE 8908, International Symposium on Photoelectronic Detection and Imaging 2013: Imaging Sensors and Applications, 890815 (21 August 2013); doi: 10.1117/12.2033059
Show Author Affiliations
Yong Zhu, Changchun Univ. of Science and Technology (China)
Qiang Fu, Changchun Univ. of Science and Technology (China)
Jin Duan, Changchun Univ. of Science and Technology (China)
Wen-bo Jing, Changchun Univ. of Science and Technology (China)

Published in SPIE Proceedings Vol. 8908:
International Symposium on Photoelectronic Detection and Imaging 2013: Imaging Sensors and Applications
Jun Ohta; Nanjian Wu; Binqiao Li, Editor(s)

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