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	Evaluation of Temperature and Emissivity Retrieval using Spectral Smoothness Method for Low-Emissivity Materials
	Qian Y. G.; Wang, N.; Ma, L. L.; Chen, M.; Wu, H.; Liu, L.; Han, Q. J.; Gao, C. X.; Jia, Y. Y.; Tang, L. L.
	2016
关键词	Hyperspectral thermal infrared land surface temperature and emissivity low emissivity thermal infrared data land-surface emissivity atmospheric compensation separation algorithm images sensor
英文摘要	Land surface temperature and emissivity separation (TES) is a key problem in thermal infrared (TIR) remote sensing. Along with the development of civil applications, increasing numbers of man-made low-emissivity materials can be found around our living environment. In addition, the characteristics and variation in properties of those materials should also be concerned. However, there are still few TES methods for low-emissivity materials reported in the literature. This paper addresses the performance of the automatic retrieval of temperature and emissivity using spectral smoothness (ARTEMISS) method proposed by Borel (2008) for the retrieval of temperature and emissivity from hyperspectral TIR data for low-emissivity materials. The results show that those modeling errors are less than 0.11 K for temperature and 0.3% for emissivity as shown in the ARTEMISS algorithm if atmospheric parameters and the mean emissivity of material spectra are known. A sensitivity analysis has been performed, and the results show that the retrieval accuracy will be degraded with the increase of instrument noises, the errors of the atmospheric parameters, and the coarser spectral resolution. ARTEMISS can give a reasonable estimation of the temperature and emissivity for high-and low-emissivity materials; however, the performance of the algorithm is more seriously influenced by the atmospheric compensation than by the instrument noises. Our results show that the errors of temperature and emissivity become approximately three times than that when the instrument spectral properties are 1 cm(-1) of sampling interval and 2 cm(-1) of FWHM, and 4 cm(-1) of sampling interval and 8 cm(-1) of FWHM, respectively.
出处	Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing
卷	9
期	9
页	4307-4315
收录类别	SCI
语种	英语
ISSN号	1939-1404
内容类型	SCI/SSCI论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/43284]
专题	地理科学与资源研究所_历年回溯文献
推荐引用方式 GB/T 7714	Qian Y. G.,Wang, N.,Ma, L. L.,et al. Evaluation of Temperature and Emissivity Retrieval using Spectral Smoothness Method for Low-Emissivity Materials. 2016.

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