摘要

Remote sensing images are more or less influenced by clouds and cloud shadows during the data acquisition, which pose a major challenge in data processing. As a result, many researchers have come up with different methods to detect and remove the clouds and their shadows from remote sensing images. In this paper, an automatic cloud removal algorithm is proposed to generate cloud-free and cloud shadow-free images from multi temporal registered remote-sensing images. An automatic cloud detection and a shadow detection algorithm is combined in this method. The quality assessment of multitemporal images based on SSIM index is used to sort the images. Information cloning is used to fill the cloud-covered areas in the satellite image. For each cloud contaminated area, the corresponding cloud free areas are selected from sorted multitemporal images to reconstruct the clouds without any visible seams. Experimental analysis is performed on Landsat-7 Enhanced Thematic Mapper Plus (ETM+) sensor images and results are obtained. Experimental results proved the better performance of proposed method. Both the thin and thick clouds can be removed efficiently using the proposed method.

  • 出版日期2015-3