Comparative analysis of the methods of increasing the spatial resolution of satellite data LANDSAT-8

Annotation: The area of multispectral and hyperspectral methods of sounding the atmosphere and the surface of the Earth is a constantly growing area of application of remote sensing data. The presence in the signal of a large number of spectral channels (wide spectral range), high spectral resolution, allows to detect and classify various types of surface in the observed satellite image. The main problem of multispectral and hyperspectral data is that the spatial resolution of such measurements can vary from several to tens of meters. In addition, numerous factors associated with optical imperfections, atmospheric scattering, lighting effects (geometry of the position of the Sun and the axis of sight relative to the observed territory) and sensor noise also cause deterioration in the quality of the image. This paper discusses the most popular methods for improving the spatial resolution of satellite data and conducts their detailed comparative analysis. The processing of real satellite data Landsat-8 for the territory near Tomsk is given.

Keywords: satellite images, spatial resolution, satellite data processing methods