METHOD OF FORMATION OF ADAPTIVE INFORMATION PROCESSING SYSTEM FOR AREAL TERRAIN IMAGES

 cover 3 16 2017

METHOD OF FORMATION OF ADAPTIVE INFORMATION PROCESSING SYSTEM FOR AREAL TERRAIN IMAGES

I.M. Levkin
Doctor of Military Science, Ministry of Defence of the Russian Federation - Main Robotics Research and Test Center, Professor, Senior Research Scientist, 282-28, ul. Kolontay, Saint-Petersburg, 193312, Russia, tel.: +7(921)954-12-61, This email address is being protected from spambots. You need JavaScript enabled to view it.

S.A. Popov
Ministry of Defence of the Russian Federation - Main Robotics Research and Test Center, Head of the Main Center, 5, Seregina ul. pr., Moscow, 125167, Russia, tel.: +7(495)330-18-38, This email address is being protected from spambots. You need JavaScript enabled to view it.


Abstract
In the article the peculiarities of images interpretation of the area sizeable parts in terms of time limits associated with information support of consequences liquidation process of technogenic and natural disasters, are observed. Due to the fact that the situation in the area of such catastrophes is stochastic in nature it is proposed to build a processing system of areal images on the basis of the theory of adaptive systems. Thus as a random input stream into the treatment system it is proposed to consider the Poisson flow of images, the dimensions of which allows you to display them entirely on the screens of the monitoring devices of the automated workplaces for operators-decipherers. A formalized statement of the problem and the sequence of actions when dealing with it are given.

Key words
Areal image, Poisson stream of images, stochastic environment of functioning of processing system, adapting of processing system, criteria of adaptation, methods of formation of adaptive processing system.

Bibliographic description 
Levkin, I. and Popov, S.(2017). Method of formation of adaptive information processing system for areal terrain images. Robotics and Technical Cybernetics, 3(16), pp.17-21.

UDC identifier
519.876.5:528.8

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