The Rs Images Restoration of Cbers-2 Based on Atmospheric Mtf Evaluation Using Meteorological Data

Atmospheric MTF(Modulation Transfer Function) takes a critical role in restoration of atmospheric blurred RS(Remote Sensing) images. This MTF can be determined by meteorological data. Among the existing deblurring methods of RS images, the meteorological data is not used in estimation of atmospheric MTF. For CBERS-02(China and Brazil Earth Resource Satellite) RS image data, a new deblurring algorithm is proposed. In this new method, both turbulence and aerosol MTFs are predicted via meteorological parameter measured at weather station on the time when and in the region where the RS image were recorded. The product of these two MTFs is used as the total atmospheric MTF which is combined with Wiener filter. Using the developed algorithm, turbulence blur, aerosol blur and path radiance contrast inconsistent are all corrected simultaneously. The area under MTF curve of restored image is apparent larger than one of original image. Experimental results with CBERS-02 RS images prove that the algorithm works well on restoration of atmospheric degraded images. * Corresponding author.