Adaptive method for the detection of infrared small target

Hao Ding; Huijie Zhao

doi:10.1117/1.OE.54.11.113107

18 November 2015 Adaptive method for the detection of infrared small target

Hao Ding, Huijie Zhao

Author Affiliations +

Optical Engineering, Vol. 54, Issue 11, 113107 (November 2015). https://doi.org/10.1117/1.OE.54.11.113107

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.

Citation Download Citation

Hao Ding and Huijie Zhao "Adaptive method for the detection of infrared small target," Optical Engineering 54(11), 113107 (18 November 2015). https://doi.org/10.1117/1.OE.54.11.113107

Published: 18 November 2015

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