Atmospheric correction of HJ-1A multi-spectral and hyper-spectral images

As China successfully launched the small satellite constellation-HJ-1 satellite, the first satellite to monitor and forecast environment and disaster which can acquire CCD multi-spectral images and HSI hyper-spectral images at the same time, the overall science and technology level to reduce disaster is markedly improved. Due to the distortions of the atmospheric absorption and scattering on the Solar-Target-Sensor path, the radiation the sensor receives ts largely attenuated which makes the inversion of surface parameters such as reflectance produce larger errors. Therefore, it is necessary to make atmospheric correction which is the prerequisite of quantitative remote sensing. Two operational methods in this paper are presented. The method based on 6S (Second Simulation of the Satellite Signal in the Solar Spectrum) is used to atmospheric correction of HJ-1A visible and near-infrared bands and the other method based on FLAASH (Fast Line-of-sight Atmospheric Analysis of Spectral Hypercubes) is used to atmospheric correction of HJ-1A hyper-spectral bands (0.45~0.95 μm). The results show that both atmospheric simulation models can effectively eliminate the atmospheric effects. The clarity of image after correction is enhanced so it is propitious to the further interpretation of remote sensing information.