Comparison of two algorithms for the temperature-emissivity separation of hyper spectral thermal airborne infrared data
Comparison of two algorithms for the temperature-emissivity separation of hyper spectral thermal airborne infrared data
2015年19卷第2期 页码:302-309
纸质出版日期:2015,
DOI:
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[1]HU Xiao,TIAN Shufang,DING Leilong,ZHOU Jiajing.Comparison of two algorithms for the temperature-emissivity separation of hyper spectral thermal airborne infrared data[J].遥感学报,2015,19(02):302-309.
HU Xiao, TIAN Shufang, DING Leilong, et al. Comparison of two algorithms for the temperature-emissivity separation of hyper spectral thermal airborne infrared data[J]. Journal of Remote Sensing, 2015,19(2):302-309.
[1]HU Xiao,TIAN Shufang,DING Leilong,ZHOU Jiajing.Comparison of two algorithms for the temperature-emissivity separation of hyper spectral thermal airborne infrared data[J].遥感学报,2015,19(02):302-309.DOI:
HU Xiao, TIAN Shufang, DING Leilong, et al. Comparison of two algorithms for the temperature-emissivity separation of hyper spectral thermal airborne infrared data[J]. Journal of Remote Sensing, 2015,19(2):302-309.DOI:
Comparison of two algorithms for the temperature-emissivity separation of hyper spectral thermal airborne infrared data
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.
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.