Evaluation of temperature and emissivity retrieval using spectral smoothness method for low-emissivity materials
文献类型：期刊论文
| 作者 | Qian, Yonggang1; Wang, Ning1; Ma, Lingling1; Chen Mengshuo1,2; Wu, Hua3; Liu, Li4; Han, Qijin4; Gao, Caixia1; Jia Yuanyuan1; Tang, Lingli1 |
| 刊名 | Ieee journal of selected topics in applied earth observations and remote sensing
 |
| 出版日期 | 2016-09-01 |
| 卷号 | 9期号:9页码:4307-4315 |
| 关键词 | Hyperspectral thermal infrared Land surface temperature and emissivity Low emissivity |
| ISSN号 | 1939-1404 |
| DOI | 10.1109/jstars.2016.2522464 |
| 通讯作者 | Li, chuanrong(crli@aoe.ac.cn) |
| 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. |
| WOS关键词 | THERMAL INFRARED DATA ; LAND-SURFACE EMISSIVITY ; ATMOSPHERIC COMPENSATION ; SEPARATION ALGORITHM ; IMAGES ; SENSOR |
| WOS研究方向 | Engineering ; Physical Geography ; Remote Sensing ; Imaging Science & Photographic Technology |
| WOS类目 | Engineering, Electrical & Electronic ; Geography, Physical ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000385245000016 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| URI标识 | http://www.irgrid.ac.cn/handle/1471x/2374791 |
| 专题 | 中国科学院大学 |
| 通讯作者 | 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.Univ Chinese Acad Sci, Elect & Commun Engn, Beijing 100049, Peoples R China 3.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 4.China Ctr Resources Satellite Data & Applicat, Applicat Res Dept, Beijing 100094, Peoples R China |
| 推荐引用方式 GB/T 7714 | Qian, Yonggang,Wang, Ning,Ma, Lingling,et al. Evaluation of temperature and emissivity retrieval using spectral smoothness method for low-emissivity materials[J]. Ieee journal of selected topics in applied earth observations and remote sensing,2016,9(9):4307-4315. |
| APA | Qian, Yonggang.,Wang, Ning.,Ma, Lingling.,Chen Mengshuo.,Wu, Hua.,...&Li, Chuanrong.(2016).Evaluation of temperature and emissivity retrieval using spectral smoothness method for low-emissivity materials.Ieee journal of selected topics in applied earth observations and remote sensing,9(9),4307-4315. |
| MLA | Qian, Yonggang,et al."Evaluation of temperature and emissivity retrieval using spectral smoothness method for low-emissivity materials".Ieee journal of selected topics in applied earth observations and remote sensing 9.9(2016):4307-4315. |
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来源：中国科学院大学
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