24 November 2014 The multi-spectral radiation influence research between buildings
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Proceedings Volume 9301, International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition; 93011Y (2014) https://doi.org/10.1117/12.2072404
Event: International Symposium on Optoelectronic Technology and Application 2014, 2014, Beijing, China
Abstract
In order to improve the accuracy of multi-spectral scene simulation, and avoid resource waste of unnecessary computing, some researches on the radiation influence between buildings during the multi-spectral simulation in the waveband 3-5μm and 8-12μm have been done, so as to provide theoretical support for whether it is needed to compute the radiation influence between buildings in the multi-spectral simulation. This paper determines the primary factors that affect the degree of radiation influence between buildings, determines the effect that the sun direct radiation to the radiation influence between buildings, derives the computation formula for radiation influence between buildings in a specific scene from many basic common heat radiation formula and simulates the scene radiation in multi-spectral in the specific scene. Finally, the importance of radiation influence between buildings comparing to the entire scene simulation radiation was evaluated based on numerical calculation. The numerical calculation results show that the radiation influence between buildings in waveband 3-5μm can be ignored when the sun direct radiation exists, which can’t be ignored in waveband 8-12μm. In the waveband 8-12μm, the radiation influence between nearby buildings is great in waveband 8μm, 9μm and 10μm, more than 10% comparing to the buildings’ self radiation, which is small in waveband 11μm and 12μm, less than 4%.
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Bo Li, Bo Li, Huai-ci Zhao, Huai-ci Zhao, Shi-jie Sun, Shi-jie Sun, } "The multi-spectral radiation influence research between buildings", Proc. SPIE 9301, International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition, 93011Y (24 November 2014); doi: 10.1117/12.2072404; https://doi.org/10.1117/12.2072404
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