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Evaluation and comparison of hyperspectral temperature and emissivity separation methods influenced by sensor spectral properties
Wang, Ning1; Qian, Yonggang1; Wu, Hua2; Ma, Lingling1; Tang, Lingli1; Li, Chuanrong1
2019
Source PublicationINTERNATIONAL JOURNAL OF REMOTE SENSING
ISSN0143-1161
Volume40Issue:5-6Pages:1693-1708
Corresponding AuthorQian, Yonggang(qianyg@aoe.ac.cn) ; Li, Chuanrong(crli@aoe.ac.cn)
AbstractIn 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.
DOI10.1080/01431161.2018.1484963
WOS KeywordLAND-SURFACE TEMPERATURE ; ATMOSPHERIC COMPENSATION ; RETRIEVAL ; ALGORITHM
Indexed BySCI
Language英语
Funding ProjectNational Key R&D Program of China[2016YFB0500602] ; National High Technology Research and Development Program of China[2014AA123202]
Funding OrganizationNational Key R&D Program of China ; National High Technology Research and Development Program of China
WOS Research AreaRemote Sensing ; Imaging Science & Photographic Technology
WOS SubjectRemote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000464043900006
PublisherTAYLOR & FRANCIS LTD
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Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/48205
Collection中国科学院地理科学与资源研究所
Corresponding AuthorQian, Yonggang; Li, Chuanrong
Affiliation1.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
Recommended Citation
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.
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