Abstract
At present, methods of digital processing of Earth remote sensing images are widely used to improve the image quality. For example, many images are discarded due to high clouds in the images, which obscure objects of interest. In this paper, the possibility of using high- frequency global filters to reduce cloudiness in the image is considered, and the results of image enhancement are shown.
Highlights
At present, methods of digital processing of Earth remote sensing (ERS) images are widely used to improve the image quality
We will consider the possibility of applying global high-frequency filtering methods to eliminate cloudiness of remote sensing images
As a distortion of the cloudiness of the image, the smoke in this area is presented, and the central part of the image contains a high degree of distortion, and the lateral left one is already less [4]
Summary
Methods of digital processing of Earth remote sensing (ERS) images are widely used to improve the image quality. The possibility of preliminary ranking or selection of images with respect to the prevalence and location of clouds in the image should significantly reduce the search time for suitable images for solving applied problems [1]. Another common way to improve such images is preliminary processing of remote sensing data: radiometric, atmospheric or geometric correction [2]. It is possible to use classical methods of spatial filtering of digital image processing [3]. We will consider the possibility of applying global high-frequency filtering methods to eliminate cloudiness of remote sensing images
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