We developed an IR image generation S/W to be applied for moving objects. To validate the S/W the IR signal and the surface temperature are measured from a test ship operating along a designated route on the sea, and the weather conditions and the ship positions are also measured simultaneously. Calculations of the surface temperature and the IR signal of the test ship are performed by using the measured weather data. Results obtained from the measurement and the numerical analysis show fairly good agreements and we found an applicability of the developed S/W in analyzing IR signals from moving objects
The goal of the present study is to develop a S/W that predicts infrared signals from objects synthetically by
considering the internal and external factors, such as surface properties, internal heat sources, solar irradiations,
atmospheric temperature, etc. As a part of developing a S/W, this paper contains some results of the measured and
simulated IR signals for comparison and validation. The scaled model ship used in this study is made of 3mm-thick steel
and 1.5m long. It has virtual internal heat sources that are made of a brass block with a heater. The experiments are
performed under an indoor environment to exclude the external effects such as solar irradiance, wind effect, etc. The
radiance from the ship is mainly due to the surface temperature because the effects of solar and wind are excluded. Also
the IR signals are collected by the IR cameras which are operated at MWIR(3.7~5.1μm ) and LWIR(7.5~9.1 μm),
respectively. At the same time, the atmospheric temperature and the relative humidity are measured to use for input
conditions for calculation. The surface temperature and the IR signals within the two wavelengths are calculated by using
the S/W developed in this study considering the 3D ship model, the internal heater temperature, and the atmospheric
conditions. The temperature and IR signals from the scaled model ship obtained from measurements and from the S/W
developed in this study are compared each other by showing fairly good agreements with each other.
The major purpose of the present study is to develop a computer code that predicts infrared signals from 3D objects by
considering spectral surface properties. In this study, infrared images from the 3D objects are created by calculating the
self emitted component and the reflected components by the solar and sky shines. For the reflected components, the
BRDF(Bi-Directional Reflectance Distribution Function) which provides a method of describing reflectance as a
function of incident and reflected angles and wavelength is used to explain the reflection characteristics of object`s
surface. The multiple-reflection effects by using the view factor are included in analyzing the radiative exchange
between adjoining meshes where the shadow effect is also included in this calculation. The infrared signals and images
obtained by using the software developed in this study and a commercial software (RadThermIR) are compared each
other. Results obtained by using the software developed in this study show fairly good agreement with those obtained by
the commercial software. Results also show that the reflected radiance is more important in the MWIR images where the
reflected radiance is dominant than in the LWIR images where the self emitted radiance is dominant.
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