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Proceedings Paper

The research and implementation of CFAR in infrared small target detection
Author(s): Fu-yuan Xu; Guo-hua Gu; Weixian Qian
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Paper Abstract

Constant False Alarm Rate(CFAR) detection is a key technology in infrared small target detection and search. For performance of CFAR is unstable and false alarm rate and detection rate are unpredictable when infrared small targets are detected, this paper proposes a CFAR technique which based on background clutter distribution parameter estimation. Through accurately estimation power of the local background clutter, the technology is able to select the appropriate threshold. The system false alarm rate can be restrained in a certain constant by the threshold, so that the detection rate and system performance can be improved. This paper introduces the estimating parameter methods and inspection process of background clutter which is left after the infrared image under Robinson filter in details, and describes the specific steps of the design of CFAR detector according to the different distribution models. The experimental data and Analysis Results can fully show that this CFAR technique can suppress background clutter effectively, and improve the detection rate under a certain false alarm rate.

Paper Details

Date Published: 8 September 2011
PDF: 10 pages
Proc. SPIE 8193, International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, 81931N (8 September 2011); doi: 10.1117/12.900159
Show Author Affiliations
Fu-yuan Xu, Nanjing Univ. of Science and Technology (China)
Guo-hua Gu, Nanjing Univ. of Science and Technology (China)
Weixian Qian, Nanjing Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 8193:
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications
Jeffery J. Puschell; Junhao Chu; Haimei Gong; Jin Lu, Editor(s)

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