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Proceedings Paper

Background clutter and detection algorithm-based staring IR seeker preformance evaluation
Author(s): Hong-hua Chang; Jian-qi Zhang; Xiao-rui Wang; Yong Li
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Paper Abstract

Detecting a target out of its surrounding background is a major problem in various infrared seekers. The cluttered scenarios present extreme challenges for the modern IR seekers and are the focus of technology efforts. So, a complete performance evaluation model should include all of the following elements: i) the background ii) the target, iii) the atmosphere, iv) the sensor, and v) the image processing algorithms. Since the staring IR seeker systems are emerging as the latest application of the thermal infrared technology, it suffers the most from the lack of complete performance evaluation models. We present a robust performance evaluation technique for staring IR seekers based on signal-to-interference ratio (SIR), with the quantitative description of the background clutter and detection algorithms emphasized. The power transfer functions of the optical system, detector and electronic are established to describe energy transmission of the signal and interference (noise and clutter) through the IR seeker, and the targets' radiant intensity statistics as well as the noise's statistical characteristics are also taken into account. In order to quantify the background clutter, we use a clutter measure based on its energy content - power spectral density (PSD). Based on this measure, a SIR is developed to analyze detection performance. Furthermore, the influence of several classical detection algorithms on the SIR is analyzed.

Paper Details

Date Published: 10 January 2005
PDF: 10 pages
Proc. SPIE 5640, Infrared Components and Their Applications, (10 January 2005); doi: 10.1117/12.576475
Show Author Affiliations
Hong-hua Chang, Xidian Univ. (China)
Jian-qi Zhang, Xidian Univ. (China)
Xiao-rui Wang, Xidian Univ. (China)
Xi'an Institute of Applied Optics (China)
Yong Li, Xidian Univ. (China)


Published in SPIE Proceedings Vol. 5640:
Infrared Components and Their Applications
Haimei Gong; Yi Cai; Jean-Pierre Chatard, Editor(s)

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