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.