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• Содержание выпуска •
• Software and Hardware for Distributed Systems and Supercomputers •
• Mathematical Modelling •
• Artificial Intelligence, Intelligence Systems, Neural Networks •
• Mathematical Foundations of Programming •
• Methods for Optimal Control and Control Theory •
• Supercomputing Software and Hardware •
Mathematical Modelling
Responsible for the Section: doctor of technical Sciences
Vladimir Gurman, candidate of technical Sciences Sergei Amelkin
On the left: assigned number of the paper, submission date, the number
of A5 pages contained in the paper, and the reference to the full-text
PDF
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Article # 20_2014
21
p.
/r1/pdf.jpg)
PDF |
submitted on 27th
Nov 2014 displayed on
website on
09th
Dec
2014 Fralenko V.
Methods of image texture analysis, Earth remote sensing data
processing
This paper proposes the results of texture
description and recognition methods scientific review, raised the
issue of texture analysis methods efficient using in the cartography
and scouting problems. Achieved practical comparison of several
methods for background underlying surface removing. (in Russian).
Key words: texture analysis, remote sensing, image,
approach |
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article citation |
http://psta.psiras.ru/read/psta2014_4_19-39.pdf |
• Software and Hardware for Distributed Systems and Supercomputers •
• Mathematical Modelling •
• Artificial Intelligence, Intelligence Systems, Neural Networks •
• Mathematical Foundations of Programming •
• Methods for Optimal Control and Control Theory •
• Supercomputing Software and Hardware •
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