中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 地理科学与资源研究所
  3. 中国科学院地理科学与资源研究所
Evaluation and comparison of hyperspectral temperature and emissivity separation methods influenced by sensor spectral properties

文献类型：期刊论文

作者Wang, Ning1; Qian, Yonggang1; Wu, Hua2; Ma, Lingling1; Tang, Lingli1; Li, Chuanrong1
刊名INTERNATIONAL JOURNAL OF REMOTE SENSING
出版日期2019
卷号40期号:5-6页码:1693-1708
ISSN号0143-1161
DOI10.1080/01431161.2018.1484963
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.
WOS关键词LAND-SURFACE TEMPERATURE ; ATMOSPHERIC COMPENSATION ; RETRIEVAL ; ALGORITHM
资助项目National Key R&D Program of China[2016YFB0500602] ; National High Technology Research and Development Program of China[2014AA123202]
WOS研究方向Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:000464043900006
出版者TAYLOR & FRANCIS LTD
资助机构National Key R&D Program of China ; National High Technology Research and Development Program of China
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.

入库方式： OAI收割

来源：地理科学与资源研究所

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。