Autonomous photogrammetric network design based on changing environment genetic algorithms

Jian Yang; Nai-Guang Lu; Mingli Dong

doi:10.1117/12.807364

13 October 2008 Autonomous photogrammetric network design based on changing environment genetic algorithms

Jian Yang, Nai-Guang Lu, Mingli Dong

Proceedings Volume 7129, Seventh International Symposium on Instrumentation and Control Technology: Optoelectronic Technology and Instruments, Control Theory and Automation, and Space Exploration; 712902 (2008) https://doi.org/10.1117/12.807364
Event: Seventh International Symposium on Instrumentation and Control Technology, 2008, Beijing, China

Abstract

In order to get good accuracy, designer used to consider how to place cameras. Usually, cameras placement design is a multidimensional optimal problem, so people used genetic algorithms to solve it. But genetic algorithms could result in premature or convergent problem. Sometime we get local minimum and observe vibrating phenomenon. Those will get inaccurate design. So we try to solve the problem using the changing environment genetic algorithms. The work proposes giving those species groups difference environment during difference stage to improve the property. Computer simulation result shows the acceleration in convergent speed and ability of selecting good individual. This work would be used in other application.

Citation Download Citation

Jian Yang, Nai-Guang Lu, and Mingli Dong "Autonomous photogrammetric network design based on changing environment genetic algorithms", Proc. SPIE 7129, Seventh International Symposium on Instrumentation and Control Technology: Optoelectronic Technology and Instruments, Control Theory and Automation, and Space Exploration, 712902 (13 October 2008); https://doi.org/10.1117/12.807364

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