Application of Sentinel-1 and Sentinel-2 data to conduct reconnaissance analyses

摘要

The main aim of this research is to examine the interpretation possibilities of images from the constellation of Sentinelsatellites, i.e. Sentinel-1, and Sentinel-2, and to assess their suitability for the analysis of objects from category 01 Airfieldsaccording to the standardisation document STANAG 3596. In the presented research analysis of chosen airbases in Europewas presented. In the course of the research, image data, both electro-optical and microwave data, were pre-processedappropriately, i.e. radiometric and geometric corrections, and filtrations were applied, in order to finally analyse andevaluate interpretations. In the research radar images in the C band, which are recorded by sensors placed on the satellitesof the Sentinel-1 constellation, as well as electro-optical images acquired by multispectral sensors placed on the satellitesof the Sentinel-2 constellation, were used. In addition, the fusion of microwave and electro-optical data was made to verifythe usefulness of data integration for reconnaissance purposes. Then the Sentinel data was combined with high-spatialresolutiondata from Google Earth, in order to improve the quality and to verify the usefulness of the integration of multitemporaldata in the process of imagery interpretation and object detection. The analysis consisted of assessing theinterpretability of images by the possibility of distinguishing specific objects on it. The results were next evaluated usinghigh- spatial resolution open-source imagery data from Google Earth, and open source GIS data. The conducted analysesshowed that the use of Sentinel image data in recognising objects at airports seems to be justified due to their availability,although these should be objects of considerable size. In order to detect smaller objects, multi-resolution data integrationshould be applied, as showed in the research.