Modeling of global infrared background based on remote sensing inversion

Yang Fan; Xuan Yimin; Han Yuge

The precondition for modeling the earth's infrared background is to derive reliable global surface temperature. The accurate surface temperature could be retrieved based on the data of remote sensing. Choosing the widely used split-window algorithm, the global distribution of the surface temperature was retrieved. Besides, the model of the earth infrared radiance was completely proposed, considering the atmospheric infrared radiance and the atmospheric transmittance in different modes of region, latitude and season. Through a combination of remote sensing technology and infrared radiation modeling technology, the global infrared background radiance was finally calculated and mapped in any band. It can be indicated that, the simulated images are detailed and accurate, and reflected the real infrared characteristics of the earth background. The results have an important application value in thermal environment analysis of space objects, research of space infrared detection and stealth technology.

1. School of Energy and Power Engineering,Nanjing University of Science and Technology,Nanjing 210094,China

Received Date: 2013-07-23

Rev Recd Date: 2013-08-25

Publish Date: 2014-03-25

Key words:

Abstract: The precondition for modeling the earth's infrared background is to derive reliable global surface temperature. The accurate surface temperature could be retrieved based on the data of remote sensing. Choosing the widely used split-window algorithm, the global distribution of the surface temperature was retrieved. Besides, the model of the earth infrared radiance was completely proposed, considering the atmospheric infrared radiance and the atmospheric transmittance in different modes of region, latitude and season. Through a combination of remote sensing technology and infrared radiation modeling technology, the global infrared background radiance was finally calculated and mapped in any band. It can be indicated that, the simulated images are detailed and accurate, and reflected the real infrared characteristics of the earth background. The results have an important application value in thermal environment analysis of space objects, research of space infrared detection and stealth technology.

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Reference (19)

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Modeling of global infrared background based on remote sensing inversion

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