
Proceedings Paper
Study on the spectral transmission characteristics of MWIR through the atmosphereFormat | Member Price | Non-Member Price |
---|---|---|
$17.00 | $21.00 |
Paper 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.
Paper Details
Date Published: 24 October 2007
PDF: 10 pages
Proc. SPIE 6748, Image and Signal Processing for Remote Sensing XIII, 67481N (24 October 2007); doi: 10.1117/12.738982
Published in SPIE Proceedings Vol. 6748:
Image and Signal Processing for Remote Sensing XIII
Lorenzo Bruzzone, Editor(s)
PDF: 10 pages
Proc. SPIE 6748, Image and Signal Processing for Remote Sensing XIII, 67481N (24 October 2007); doi: 10.1117/12.738982
Show Author Affiliations
Jun-Hyuk Choi, Chung-Ang Univ. (South Korea)
Tae-Kuk Kim, Chung-Ang Univ. (South Korea)
Published in SPIE Proceedings Vol. 6748:
Image and Signal Processing for Remote Sensing XIII
Lorenzo Bruzzone, Editor(s)
© SPIE. Terms of Use
