With the development of remote sensing technology, the remote sensing has been developed from qualitative application to quantitative application,and atmospheric correction is an important part of quantitative remote sensing research. In this study, the authors used the FLAASH model of ENVI software to conduct atmospheric correction for Worldview3, a satellite image with high spatial resolution and high spectral resolution, and then evaluated the method. Worldview3 data and ASD measurement spectral data of typical ground objects(saline-alkali land and diorite)in Lop Nur were obtained. Firstly, the DN value of Worldview3 was converted into radiation brightness and apparent reflectance, and the atmosphere correction of Worldview3 image was carried out by using FLAASH model. The radiation brightness, apparent reflectance and FLAASH atmospheric corrected reflectance of two typical ground objects (saline-alkali land and diorite) in the study area were comparatively studied, and the measured reflection spectra of saline-alkali and diorite by ASD were also compared after resampling to the response band of Worldview3 by Gaussian filtering function. The results show that it is effective to apply FLAASH model to atmospheric correction of Worldview3 data, and the two methods can obtain high coincidence degree of reflection spectrum, with the correlation coefficient reaching 0.8.
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