Imaging Components, Systems, and Processing

Adaptive method for the detection of infrared small target

[+] Author Affiliations
Hao Ding, Huijie Zhao

Beihang University, School of Instrument Science and Opto-Electronics Engineering, Precision Opto-mechatronics Technology Key Laboratory of Education Ministry, 37 Xueyuan Road, Haidian District, Beijing 100191, China

Opt. Eng. 54(11), 113107 (Nov 18, 2015). doi:10.1117/1.OE.54.11.113107
History: Received May 21, 2015; Accepted October 16, 2015
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Abstract.  Background suppression is an important problem in infrared small target detection. The two-dimensional least mean square (TDLMS) filter is a widely used method, but its performance will decline when targets are embedded in a complex cluttered background. To fill the gap, variable step-size TDLMS, the neighborhood analysis technique, and the edge-directional TDLMS filter are developed but still cannot achieve a satisfying performance. Here, an adaptive method for background suppression is proposed. According to different characteristics of the pixels in homogeneous/target regions and inhomogeneous regions, two basic filters are first designed. Then a fuzzy edge estimation factor is introduced to combine them into a uniform framework, in which the two basic filters can be switched automatically to fit different kinds of pixels. Finally, a new mechanism to update and propagate the coefficients of the prediction window is constructed. It makes sure that the adaptive method works smoothly and reveals a potential to be implemented in parallel. The experimental results demonstrate that the proposed method achieves significant improvement in background suppression and detection performance.

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© 2015 Society of Photo-Optical Instrumentation Engineers

Citation

Hao Ding and Huijie Zhao
"Adaptive method for the detection of infrared small target", Opt. Eng. 54(11), 113107 (Nov 18, 2015). ; http://dx.doi.org/10.1117/1.OE.54.11.113107


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