Abstract
In modern systems, remote sensing widespread two-dimensional fast Fourier transform (FFT) for processing satellite images and the subsequent image filtering. In this paper we consider the possibility of using combinations of high and low frequency filters to improve global images terrestrial surface.
Highlights
1 Introduction Currently, remote sensing of the Earth is closely related to digital image processing, since the obtained aerospace images are presented in digital form in the form of raster images
Let us consider as the initial data the image of Krasnoyarsk and its environs from the LandSat-8 satellite dated April 7, 2016 [2] (Figure 1)
For the convenience of calculations, let us set the size of the investigated area as a power of two: 512 * 512 pixels
Summary
Remote sensing of the Earth is closely related to digital image processing, since the obtained aerospace images are presented in digital form in the form of raster images. Consider in this paper the possibility of using a combination of the results of applying high and low pass filters to improve the image
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