Paper
8 September 2011 The research and implementation of CFAR in infrared small target detection
Fu-yuan Xu, Guo-hua Gu, Weixian Qian
Author Affiliations +
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.
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Fu-yuan Xu, Guo-hua Gu, and Weixian Qian "The research and implementation of CFAR in infrared small target detection", Proc. SPIE 8193, International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, 81931N (8 September 2011); https://doi.org/10.1117/12.900159
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KEYWORDS
Infrared radiation

Target detection

Detection and tracking algorithms

Image filtering

Infrared detectors

Sensors

Infrared imaging

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