Temperature inversion and recognition of ground objects infrared multispectral data
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Luoyang Electronic Equipment Test Center,School of OptoElectronic Engineering, Changchun University of Science and Technology
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Abstract:
We derived object temperature from emissivity spectrum using the emissivity normalized method and discussed the feasibility of recognizing objects using ground object thermal infrared spectra. The results show that the emissivity normalized method based on thermal multispectral data can invert object temperature and emissivity spectrum efficiently. It means that inversion of emissivity spectra can be effectively applied in feature recognition, especially for different soil properties.
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ZHANG Wei-An, CHEN Bo-Lin. Temperature inversion and recognition of ground objects infrared multispectral data[J]. Journal of Infrared and Millimeter Waves,2014,33(2):172~176