Comparison of two algorithms for the temperature-emissivity separation of hyper spectral thermal airborne infrared data

摘要： 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. （共8頁）