IR Radiative Properties Modeling and Feature Extraction Method on Ballistic Target

摘要

Due to physical structures and motion attitudes, the IR radiative properties of ballistic targets are different during their flights. However, such differences cannot be easily detected by high-speed observing platform under the influence of detector noise, consequently causing difficulties with the classification and recognition of targets. This paper presents a modeling and simulation of the IR radiative properties of ballistic targets, provides a discussion on the variations in the IR radiative properties among different targets, and proposes a method for a parametric expression of the grayscale time series of the targets under noise. The experimental result indicates that by constructing a hybrid model of tendency, period and noise, an effective feature of the time series can be extracted using de-noising, curve-fitting, and frequency transformation, which ultimately contributes to the classification of targets.