A characterization method of aerial target and complex background based on infrared differential analytic factor

Abstract

Space-based infrared detection, which plays an important role in both national safety and people's daily life, is an essential means of aerial surveillance. However, the traditional performance characterization method used in the current system is difficult to distinguish aerial targets from complex backgrounds effectively, which is mainly manifested as low signal-to-clutter ratio (SCR). In this paper, a novel characterization method based on infrared differential analytic factor (IDAF) is proposed to characterize the radiation difference between the target and complex background and select the detection bands. The simulation experiment shows that the modified SCR improves over three orders of magnitude compared with the traditional performance characterization methods under different backgrounds.