Mr. Jong-Jin Shin Profile

Jong-Jin Shin

at Agency for Defense Development

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Publications (1)

Proceedings Article | 26 September 2016 Paper

Study on inverse estimation of radiative properties from directional radiances by using statistical RPSO algorithm

Kuk-Il Han, Do-Hwi Kim, Jun-Hyuk Choi, Tae-Kuk Kim, Jong-Jin Shin

Proceedings Volume 9961, 99610W (2016) https://doi.org/10.1117/12.2236446

KEYWORDS: Infrared radiation, Bidirectional reflectance transmission function, Statistical analysis, Particle swarm optimization, Reflectivity, Data modeling, Diffuse reflectance spectroscopy, Error analysis, Sensors, Aluminum

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Infrared signals are widely used to discriminate objects against the background. Prediction of infrared signal from an object surface is essential in evaluating the detectability of the object. Appropriate and easy method of procurement of the radiative properties such as the surface emissivity, bidirectional reflectivity is important in estimating infrared signals. Direct measurement can be a good choice but a costly and time consuming way of obtaining the radiative properties for surfaces coated with many different newly developed paints. Especially measurement of the bidirectional reflectivity usually expressed by the bidirectional reflectance distribution function (BRDF) is the most costly job. In this paper we are presenting an inverse estimation method of the radiative properties by using the directional radiances from the surface of concern. The inverse estimation method used in this study is the statistical repulsive particle swarm optimization (RPSO) algorithm which uses the randomly picked directional radiance data emitted and reflected from the surface. In this paper, we test the proposed inverse method by considering the radiation from a steel plate surface coated with different paints at a clear sunny day condition. For convenience, the directional radiance data from the steel plate within a spectral band of concern are obtained from the simulation using the commercial software, RadthermIR, instead of the field measurement. A widely used BRDF model called as the Sandford-Robertson(S-R) model is considered and the RPSO process is then used to find the best fitted model parameters for the S-R model. The results obtained from this study show an excellent agreement with the reference property data used for the simulation for directional radiances. The proposed process can be a useful way of obtaining the radiative properties from field measured directional radiance data for surfaces coated with or without various kinds of paints of unknown radiative properties.

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