Some areas of optical images obtained by remote sensing sensors are inevitably covered by cloud.The experimental area selected in this paper is located in the Guliya Ice Cap in the West Kunlun Mountains.The cloud region on the image is divided into thin clouds and thick clouds,and the cloud removal processing method is studied for Landsat remote sensing images.The results show that:for Landsat remote sensing images,the histogram matching and wavelet fusion can effectively remove thin clouds;the constructed normalized thick cloud detection model can detect thick clouds well;the matching algorithm is currently a more effective method for processing thick clouds.
维普
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