QQ客服 官方微博 反馈留言

	Evaluation of temperature and emissivity retrieval using spectral smoothness method for low-emissivity materials
	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
	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
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000385245000016
内容类型	期刊论文
URI标识	http://www.corc.org.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.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

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。