Mr. Alexander Guriev Profile

Alexander Guriev

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Publications (2)

Proceedings Article | 20 September 2020 Paper

Application of intelligent technologies for getting information about the state of natural resources when monitoring the ecosystems of the northern territories

A. Guryev, I. Vasendina, G. Volkova, T. Tyurbeeva

Proceedings Volume 11528, 1152814 (2020) https://doi.org/10.1117/12.2574463

KEYWORDS: Ecosystems, Data processing, Information technology, Neural networks, Image segmentation, Photography, Image processing, Climatology, Information operations, Spatial resolution

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Along with the growth of economic activity in the northern regions of Russia, there is an increasing need to assess their impact on the ecosystems of the northern territories. Due to the severe climatic conditions and low recovery capacity of northern ecosystems, it is important to quickly identify and respond to emerging negative processes. When monitoring terrestrial ecosystems, a key role is played by the availability of up-to-date, constantly updated information about the state of the northern ecosystem. One of the main sources of operational information is ultra-high spatial resolution images from unmanned aerial vehicles. Intelligent technologies and neural networks, in particular, are used to solve various point problems of thematic interpretation of spatial data on images, but are not used in combination because of the lack of elaboration of the mechanism for linking them together, and are also practically not focused on the problems of territory management. The article describes a formalized approach to combining a pool of intelligent technologies at two levels for the regular receipt of up-to-date information about ecosystem objects that enters the dynamic monitoring and management system of the northern territories. Within this approach, when obtaining information about the state of natural resources for monitoring northern ecosystems, the conceptual apparatus of different subject areas are taken into account: the area of territorial management tasks; natural resources of the ecosystem; remote sensing of the Earth. It is proposed to develop a mechanism for linking concepts from subject areas, their characteristics and dependencies, and building a semantic model, its formal description. The implementation of the process of obtaining information based on combining a sequence of neural networks of such modern architectures as U-Net and Res-Net is considered in this paper. The proposed approach provides a unified interaction of information manipulation processes based on various intelligent technologies for the regular receipt of up-to-date information about the state of natural resources in the framework of a dynamic monitoring and management system for the northern territories.

Proceedings Article | 20 September 2020 Paper

Extracting knowledge from aerial photos based on the method of automated processing

A. Guryev, K. Shoshina, G. Volkova, T. Tyurbeeva

Proceedings Volume 11528, 1152813 (2020) https://doi.org/10.1117/12.2574462

KEYWORDS: Unmanned aerial vehicles, Image segmentation, Photography, Remote sensing, Image processing, Image processing algorithms and systems, Process modeling, Intelligence systems, Reliability, Data modeling

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