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航空高光谱热红外数据的两种发射率反演方法对比
引用本文:胡骁,田淑芳,丁雷龙,周家晶.航空高光谱热红外数据的两种发射率反演方法对比[J].遥感学报,2015,19(2):302-318.
作者姓名:胡骁  田淑芳  丁雷龙  周家晶
作者单位:中国地质大学(北京) 地球科学与资源学院, 北京 100083,中国地质大学(北京) 地球科学与资源学院, 北京 100083,中国地质大学(北京) 地球科学与资源学院, 北京 100083,中核集团核工业北京地质研究院, 遥感信息与图像分析技术国家级重点实验室, 北京 100029
基金项目:热红外高光谱矿化蚀变矿物提取方法研究与应用示范(编号:12120113099600)
摘    要:本文在介绍航空高光谱热红外的两种发射率反演算法——ARTEMISS算法和ASTER TES算法基础上,以甘肃柳园地区的热红外高光谱TASI数据为基础,对实验区进行了发射率反演,结合野外实测结果,对两种算法的图像质量和精度进行了对比分析。结果显示,两种算法均能满足反演精度要求,ASTER TES算法图像质量好,精度较高;ARTEMISS步骤简单,反演结果能很好地体现出岩性差异。在实际应用中应结合不同的应用要求来选择不同的反演算法。

关 键 词:热红外高光谱  ARTEMISS  ASTER  TES  发射率反演
收稿时间:2013/12/18 0:00:00
修稿时间:2014/5/14 0:00:00

Comparison of two algorithms for the temperature-emissivity separation of hyper spectral thermal airborne infrared data
HU Xiao,TIAN Shufang,DING Leilong and ZHOU Jiajing.Comparison of two algorithms for the temperature-emissivity separation of hyper spectral thermal airborne infrared data[J].Journal of Remote Sensing,2015,19(2):302-318.
Authors:HU Xiao  TIAN Shufang  DING Leilong and ZHOU Jiajing
Institution:School of Earth Sciences and Resources, China University of Geosciences(Beijing), Beijing 100083, China,School of Earth Sciences and Resources, China University of Geosciences(Beijing), Beijing 100083, China,School of Earth Sciences and Resources, China University of Geosciences(Beijing), Beijing 100083, China and CNNC Beijing Research Institute of Uranium Geology State Key Laboratory of Remote Sensing Information and Image Analysis Technique, Beijing 100029, China
Abstract:This paper presents two temperature-emissivity separation algorithms of hyper spectral thermal airborne infrared data: the Automatic Retrieval of Temperature and Emissivity using Spectral Smoothness (ARTEMISS) algorithm and the ASTER temperature-emissivity separation(ASTER TES)algorithm. These two algorithms are applied to separate the temperature and emissivity derived from data on the Liuyuan regionusingthethermal airborne spectrographic imager. Results of the two algorithms, as applied on the data from field measurements, were analyzed and compared in terms of their image quality and accuracy. The results showed that both algorithms meet the accuracy requirements. However, some differences also exist: the ASTER TES algorithm has good image quality and high precision, where as the ARTEMISS algorithm has simple steps and an emissivity that can better reflect the differences in litho logy than the former algorithm. In practical applications, algorithms should be chosen depending on the requirements of the application.
Keywords:thermal infrared hyper spectral data  ARTEMISS  ASTER TES  temperature-emissivity separation
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