Application of Huygens secondary-wave method in eliminating cloud and its shadow for remote sensing image

A method to enhance the local regions in remote sensing images is proposed to meet the case that the information cannot be aquired due to the clouds and their shadows in the regions. The method of Huygens secondary wave is applied to extract the regions with clouds and their shadows in the remote sensing images. The wide ambiguity borders can be got when the convolution is made up of the extracted regions and bigsize smoothing convolution core whose size is 19×19 and each element is 1/381. The brightness is compensated in the regions with clouds and their shadows in original remote sensing image. The information of the regions covered by clouds and their shadows is obtained. The semi-automatic method plays an important role in the information extraction from the remote sensing images with clouds and their shadows.