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《Chinese Science Bulletin》 2014-22
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Thermal infrared characteristics of small spherical objects with anisotropic emission behavior

HUANG Yong;CUI Xue;School of Aeronautical Science and Engineering, Beihang University;  
This paper establishes a stochastic probability model for spherical object detection to investigate the thermal infrared(IR) characteristics of anisotropic emitters. The Monte Carlo method is used to simulate the image sampling process. The mean energy portion of the detector unit during the integration time is quantified as the gray level of the unit, and the gray level image, formed by combining the gray levels of all the detector units, can qualitatively illustrate the effects of the anisotropic emission patterns of the target surface on the target IR signatures. It is found that, for a far-field small spherical object, by confining the emission direction in a narrow angular range near the normal, i.e., by increasing the normal emissivity of the object surface materials, it is possible to strengthen the energy density of the brightest pixel and enhance the energy density contrast among the detector pixels. This results in a signal with a higher degree of energy concentration in the gray level image.
【Fund】: 国家自然科学基金(51376016);; 高等学校博士学科点专项科研基金(20121102110015)资助
【CateGory Index】: O434.3
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