Study on inverse estimation of radiative reflection properties in mid-wavelength infrared region by using the repulsive particle swarm optimization algorithm

Abstract

In this study, we develop software that estimates radiative properties of painted surfaces in the mid-wavelength infrared (MWIR) region inversely from the measured temperature and radiance variations with time by applying the repulsive particle swarm optimization algorithm. In this study the radiance in the MWIR region and surface temperature are obtained from a commercial software considering winter weather, and these results are used to estimate radiative reflection properties. Surface radiative reflection properties for three different paints are estimated by using the predetermined radiance in the MWIR region and surface temperature. This finding suggests that the process for obtaining surface radiative properties proposed in this study could be a useful way to obtain infrared signatures from objects with various surface coatings of unknown radiative properties.

Apparent directional spectral emissivity determination of semitransparent materials

“…Among these methods, the Particle Swarm Optimization (PSO) algorithm, which was first developed in 1995 by Eberhart and Kennedy, [31] receives a great deal of attention due to its superior computational stability, fast solution time, and efficiency in achieving a global minimum solution compared with the conventional gradient-based methods. [32][33][34] Our research group has exploited several PSObased algorithms to determine the radiative properties, particle size distributions, and geometric conditions in various inverse radiation problems. The details of the PSO-based algorithms are available in Refs.…”