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Особенности применения методов цифровой фотограмметрии и обработки изображений на малых и средних предприятиях

Authors: Natalia V. Samsonova; FSBEI of HE \\"Don State Technical University\\"; Maksim G. Govorukhin; FSBEI of HE \\"Don State Technical University\\"; Denis V. Saveliev; FSBEI of HE \\"Don State Technical University\\";

Особенности применения методов цифровой фотограмметрии и обработки изображений на малых и средних предприятиях

Abstract

В работе рассматриваются вопросы методики эффективного обучения сотрудников изыскательских предприятий при использовании современных измерительных систем и необходимостью дальнейшей фотограмметрической обработки полученных результатов. Также уделено внимание интегрированному обучению, основанному преимущественно на веб-контенте, внедрению социальной составляющей при освоении и ознакомлении с новыми фотограмметрическими оборудованием и технологиями с целью повышения уровня конкурентоспособности сотрудников инженерно-изыскательских малых и средних предприятий.

The paper discusses the methods of survey enterprises employees effective training to use modern measurement systems and the need for further photogrammetric processing of the results obtained. Attention is also paid to integrated learning, based primarily on web content, the introduction of a social component in the development and familiarization with new photogrammetric equipment and technologies in order to increase the competitiveness of engineering and research small and medium-sized enterprises.

Keywords

education, digital photogrammetry, integrated learning, цифровая фотограмметрия, интегрированное обучение, обработка изображений, образование, image processing

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green