Haze Removal from the Visible Bands of CBERS Remote Sensing Data

Remote sensing images can widely used in many scientific research fields for its ability of detecting large area simultaneously and quickly. However, persistent cloud and haze region effect on their use. This paper used haze optimized transformation (HOT) transformation to remove haze region from CBERS remote sensing data. Band 1 and band 3 of CBERS image are selected to generate HOT image using linear regression, then HOT image was applied for the image to remove the radiometric effects of the haze. Comparing the result before and after haze removal, the image after processed is clearer than before. HOT transformation is a robust haze removal algorithm. It is also suitable for CBERS remote sensing data. Haze removal can improve evaluation of remote sensing data, especially for multi-spectral images.