Registration Number
0221U100262,
0116U000144
, R & D reports
Title
Methods for thematic analysis of heterogeneous geospatial data in the Earth remote sensing under conditions of incompleteness and lack of available information
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Head
Popov Mykhailo O., Доктор технічних наук
Registration Date
04-01-2021
Organization
State institution "Scientific Centre for Aerospace Research of the Earth of the Institute of Geological Science of the National Academy of Sciences of Ukraine"
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ABSTRACT
Methods of heterogeneous geospatial data thematic analysis in solving problems of remote sensing of the Earth in terms of incompleteness and limited information availability / Final research report, CASRE IGS NAS of Ukraine, 2020
The research object is methods of analysis of heterogeneous geospatial data obtained by remote sensing systems.
The purpose of the work is to increase the efficiency of solving remote sensing problems in the conditions of incompleteness and limited information availability due to the development and substantiation of new methods and technologies of thematic analysis of heterogeneous (heterogeneous) geospatial data.
Research methods – methods to improve the quality of aerospace images, methods for remote determination of vegetation’s physical and biophysical parameters, methods of data integration with elements of uncertainty, parametric and nonparametric statistics, Bayesian probability derivation, Dumpster-Schaefer test theory, mathematical modeling.
The main results of the work are theoretical and methodological approaches to the processing and analysis of heterogeneous geospatial remote sensing data with elements of uncertainty and new methods of data integration in solutions of thematic remote sensing tasks. In addition, an important result of the research are new effective methods for remote determination of physical and vegetation’s biophysical parameters.
New physically substantiated methods of alignment and spatial resolution increment of multispectral aerospace images are described.
Methodical, algorithmic and software of the developed methods and techniques are presented. Recommendations for the results’ implementation of scientific research and applied developments are given.
Product Description
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Alpert Sofia I.
Andrieiev Artem A.
Kozlova Anna O.
Lysenko Artur R.
Lubskyi Mykola S.
Olenovich Hanna P.
Piestova Irina O.
Popov Mikhail O.
Prokopenko Igor V.
Svideniuk Mykhailo O.
Stankevich Sergey A.
Titarenko Olga V.
Tsymbal Tatiana V.
Shkliar Sergii V.
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2021-01-04
