Evaluation and comparison of hyperspectral temperature and emissivity separation methods influenced by sensor spectral properties

doi:10.1080/01431161.2018.1484963

	Evaluation and comparison of hyperspectral temperature and emissivity separation methods influenced by sensor spectral properties
	Wang, Ning 1; Qian, Yonggang 1; Wu, Hua 2; Ma, Lingling 1; Tang, Lingli 1; Li, Chuanrong 1
刊名	INTERNATIONAL JOURNAL OF REMOTE SENSING
	2019
卷号	40 期号:5-6 页码:1693-1708
ISSN号	0143-1161
DOI	10.1080/01431161.2018.1484963
通讯作者	Qian, Yonggang(qianyg@aoe.ac.cn) ; Li, Chuanrong(crli@aoe.ac.cn)
英文摘要	In this article, great efforts are focused on the temperature and emissivity separation (TES) from hyperspectral thermal infrared data. Instead of proposing a new TES method, several published TES methods, including iterative spectrally smooth temperature-emissivity separation method (ISSTES), automatic retrieval of temperature and emissivity using spectral smoothness method (ARTEMISS), spectral smoothness method (SpSm), downwelling radiance residual index method (DRRI), and linear spectral emissivity constraint method (LSEC), are reviewed. The performances of these TES methods are analysed and compared under different instrument characteristics, including spectral shifting and full-width half-maximum broadening, with the simulated data. The results show that LSEC has the most robust and accurate performance. DRRI also has a good performance, in which a channel selection procedure is required before the use of this method. ISSTES, ARTEMISS, and SpSm show more sensitivities.
资助项目	National Key R&D Program of China[2016YFB0500602] ; National High Technology Research and Development Program of China[2014AA123202]
WOS关键词	LAND-SURFACE TEMPERATURE ; ATMOSPHERIC COMPENSATION ; RETRIEVAL ; ALGORITHM
WOS研究方向	Remote Sensing ; Imaging Science & Photographic Technology
语种	英语
出版者	TAYLOR & FRANCIS LTD
WOS记录号	WOS:000464043900006
资助机构	National Key R&D Program of China ; National High Technology Research and Development Program of China
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/48204]
专题	中国科学院地理科学与资源研究所
通讯作者	Qian, Yonggang; Li, Chuanrong
作者单位	1.Chinese Acad Sci, Key Lab Quantitat Remote Sensing Informat Technol, Acad Optoelect, Beijing 100094, Peoples R China 2.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Wang, Ning,Qian, Yonggang,Wu, Hua,et al. Evaluation and comparison of hyperspectral temperature and emissivity separation methods influenced by sensor spectral properties[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2019,40(5-6):1693-1708.
APA	Wang, Ning,Qian, Yonggang,Wu, Hua,Ma, Lingling,Tang, Lingli,&Li, Chuanrong.(2019).Evaluation and comparison of hyperspectral temperature and emissivity separation methods influenced by sensor spectral properties.INTERNATIONAL JOURNAL OF REMOTE SENSING,40(5-6),1693-1708.
MLA	Wang, Ning,et al."Evaluation and comparison of hyperspectral temperature and emissivity separation methods influenced by sensor spectral properties".INTERNATIONAL JOURNAL OF REMOTE SENSING 40.5-6(2019):1693-1708.