Open AccessMathematic-systemic researching with the involvement of fractals when processing of space surveillance systems on recognition of waste disposal objects
Author(s) -
Maretta Kazaryan
Publication year - 2021
Publication title -
aerospace research in bulgaria
Language(s) - English
Resource type - Journals
eISSN - 2367-9522
pISSN - 1313-0927
DOI - 10.3897/arb.v33.e09
Subject(s) - fractal , computer science , field (mathematics) , space (punctuation) , rough set , artificial intelligence , data science , information system , set (abstract data type) , image processing , subject (documents) , data mining , computer vision , image (mathematics) , engineering , world wide web , mathematics , mathematical analysis , pure mathematics , electrical engineering , programming language , operating system
The article analyzes the factors that stimulate research and development of an automated system for processing and analyzing satellite imagery data. In particular, the study of satellite imagery for the presence of waste disposal objects is considered as an application. This problem is of particular interest when conducting scientific research. The development of automated control systems (ACS) in the field of space image (SI) recognition is characterized primarily by the approach of interest, i.e. for what purpose and for solving of which particular problem of the subject area the system is created. Obviously, the system is a set of certain information technologies and the main factor in the development of an automated system is and remains the study of peculiarities of creating an appropriate information system (IS). The article proposes a methodological approach to the processing and analysis of data by the IS. The approach is based on the conceptual idea of fractal sets. This enhances the detection of abnormal signals in difficult phono-target environments. Testing is conducted on the detection of WDS under conditions of a low signal-to-noise ratio.