The first imaging spectrometer developed by China

lunched onboard Tiangong-1 spacecraft

is another sensor after Hyperion of America being suitable for geological applications. It is important to evaluate the reflectance data quantitatively. However

quantitative evaluation of spaceborne data is difficult because of low spatial resolution and largegeometric error which will make it difficult to compare ground and imaging spectra. In this paper

the Tiangong-1 hyperspectral data was evaluated on the basis of HyMap data and ground spectra

and was compared with Hyperion data. Results show that

the signal-to-noise of Tiangong-1 data is larger than Hyperion data in shortwave infrared wavelength range

which is important to minerals retrieval. A correction method is put forward to reduce the spectral system error

which can improve the identification rate of minerals. Through spectral correction

the miss identification rate of Al-OH

Mg-OH/CO32- bearing minerals decrease from 71% and 67% to 29% and 28%.