Lubskyi M. Method of infrared aerospace imagery informativity enhancement based on subpixel signal processing

Dissertation for the degree of candidate of technical sciences (PhD) with a degree in 05.07.12 (D 26.162.03 – Remote Sensing Aerospace Research) State Institution “Scientific Centre for Aerospace Research of the Earth of Institute of Geological Science of National Academy of Sciences of Ukraine”, Kyiv 2017. The long-wavelength infrared remote sensing data allowed to significantly expand the range of problems that can be solved by means of space monitoring. However, physical constraints, which are determined by the nature of infrared radiation, greatly complicate the creation of space-based thermal infrared imaging systems with moderate and high spatial resolution. This spatial resolution is insufficient to study areas with high heterogeneity, for example, an urbanized environment, which is rapidly develop in recent decades, which increases the relevance of obtaining images of thermal fields of relatively high spatial resolution. It is physically impossible to upgrade the remote sensing systems that have already been launched. Thus, the actual scientific task is the development of new methods and technologies for the long-wavelength infrared data’s spatial resolution enhancement of in order to increase the informativity of thermal fields’ spatial distributions images based on satellite infrared data. The application of the Landsat-8 data is substantiated by combining on one platform of visible, near-infrared bands, which allow deriving the emissivity distribution and long-wave infrared radiation sensor, on the basis which allow deriving temperature distribution. Keywords: Remote sensing of the Earth, long-wave infrared radiation, spatial resolution, Planck's law, subpixel processing, emissivity, modulation transfer function.