Paper
24 October 2007 Study on the spectral transmission characteristics of MWIR through the atmosphere
Jun-Hyuk Choi, Tae-Kuk Kim
Author Affiliations +
Abstract
This paper is a part of developing a software that predicts surface emitted radiance from ground objects by considering solar irradiation and atmospheric convection. The radiance emitted from a surface can be calculated by using the temperature and optical characteristics of the surface together with the spectral atmospheric transmittance. The thermal modeling is essential for identifying objects on the scenes obtained from the satellites. And the temperature distribution on the object is used to obtain their infrared images in contrast to the background. We considered the composite heat transfer modes including conduction, convection and spectral solar radiation for objects within a scene to calculate the surface temperature distribution. The software developed in this study could be used to model the thermal energy balance to obtain the temperature distribution over the object by considering the direct and diffuse solar irradiances and by assuming the conduction within the object as one-dimensional heat transfer into the depth. LOWTRAN7 are used to model the spectral solar radiation including the direct and diffuse solar energy components. The object considered is assumed to be consisted of several different materials with different properties, such as conductivity, absorptivity, density, and specific heat etc. Resulting spectral radiances in the MWIR region arrived at the sensor are shown to be strongly dependent on the spectral surface properties of the objects.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jun-Hyuk Choi and Tae-Kuk Kim "Study on the spectral transmission characteristics of MWIR through the atmosphere", Proc. SPIE 6748, Image and Signal Processing for Remote Sensing XIII, 67481N (24 October 2007); https://doi.org/10.1117/12.738982
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CITATIONS
Cited by 4 scholarly publications.
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KEYWORDS
Solar energy

Solar radiation models

Sensors

Solar radiation

Remote sensing

Software development

Atmospheric modeling

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