Abstract
Dim small target detection is an important application of infrared (IR) searching and tracking systems. IR small target detection methods based on target energy information can accomplish a high detection rate and low false alarm rate. However, the general inaccuracy of target energy distribution models makes most detection algorithms ineffective. In this paper, considering the effect of a target’s subpixel motion on energy distribution, a new, to the best of our knowledge, IR small target energy distribution (NSTED) model for subpixel motion is proposed. The NSTED model can well describe energy distribution variation of a subpixel moving target. The simulation results demonstrate that NSTED has a better output signal-to-noise ratio (SNR) than state-of-the-art Gaussian and hyperbolic secant models. Compared with the two models, NSTED improves the output SNR by at least 17.9% and 20.7%, respectively.
© 2021 Optical Society of America
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