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Study of Optical Environment Effect for Target Detect Algorithm Based on the Template Match

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Proceedings of the 27th Conference of Spacecraft TT&C Technology in China

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 323))

Abstract

Focus on the optical environment effect for target detect, the model of optical environment effect was modeled. The analysis tools were digital optical environment simulation platform based on the HLA. The models of target, optical environment, complexity evaluation, image match algorithm, detect probability, and false-alarm probability was molded. Based on the simulation platform, the image quality degradation caused by the optical environment and the performance of the optical detect were analyzed. Several conclusions were provided at last.

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References

  1. Yang D, Su JG, Zeng CE et al (2009) Study of optical target imaging quality evaluation. J Spacecraft TT&C Technology 28(3):34–38

    Google Scholar 

  2. Luo XM, Min HQ, Yang D (2008) Research on the impact of complex battlefield electromagnetic environment on the capability of missile combat system. J Acad Equip Command Technol 19(6):6–10

    Google Scholar 

  3. Zhang YN, Tang XY (2007) Research on performance evaluation approaches of infrared automatic target recognition algorithms. Infrared 28(6):15–20

    Google Scholar 

  4. Sadjadi FA, Bazakos M (2001) A perspective on automatic target recognition Evaluation technology. Opt Eng 30(2):2–5

    Google Scholar 

  5. Clark LG, Velten VJ (1990) Imaging characterization for automatic target recognition algorithm evaluations. In: Proceedings of SPIE 1310, Orlando, FL. doi:10.1117/12.21795

  6. Peter RA, Strichland RN (1992) Imaging complexity metrics for automatic target recognizers. In: Automatic target recognizers systems and technology conference, London

    Google Scholar 

  7. Schmieder DE, Weathersby MR (1983) Detection performance in clutter with variable resolution. IEEE Trans Aerospace Electrons Sys AES-19(4):622–630

    Google Scholar 

  8. Shirvakar MV, Trivedi MM (1992) Studies in robust approaches to object detection in high-clutter background. Proc SPIE 1468:52–59

    Article  Google Scholar 

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Correspondence to Di Yang .

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© 2015 Springer-Verlag Berlin Heidelberg

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Yang, D., Zhan, Y., Wang, H., Zeng, C., Liu, Q. (2015). Study of Optical Environment Effect for Target Detect Algorithm Based on the Template Match. In: Shen, R., Qian, W. (eds) Proceedings of the 27th Conference of Spacecraft TT&C Technology in China. Lecture Notes in Electrical Engineering, vol 323. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44687-4_25

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  • DOI: https://doi.org/10.1007/978-3-662-44687-4_25

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-44686-7

  • Online ISBN: 978-3-662-44687-4

  • eBook Packages: EngineeringEngineering (R0)

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