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Academia: Архитектура и строительство
Article . 2024 . Peer-reviewed
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Классификация плотного облака точек при моделировании рельефа

Authors: Lada Danilova; Nikolay Rashevskiy; Sergey Rekunov; Yaroslav Trudov; Alexander Gurtyakov;

Классификация плотного облака точек при моделировании рельефа

Abstract

В статье рассмотрены существующие алгоритмы классификации элементов модели поверхности. Приведён порядок действия для фотограмметрической обработки снимков беспилотных летательных аппаратов. Описано оборудование, необходимое при подготовке исходных материалов аэрофотосъёмки для фотограмметрии. Представлены особенности обработки данных, полу­ченных с беспилотных летательных аппаратов, с использованием программного комплекса «Agisoft Metashape». Предложен новый подход к классификации элементов модели поверхности и группировки однотипных элементов в отдельные слои плотного облака точек, а также проанализирована возможность построения достоверной цифровой модели рельефа по материалам аэрофотосъемки полностью в автоматическом режиме. Подведены итоги проведённой работы по связке «геодезия - генплан - здание» и выявлены положительные и проблемные стороны применения новых информационных технологий в проектировании.

Keywords

фотограмметрия, Architecture, цифровая модель рельефа, беспилотный летательный аппарат, классификация плотного облака точек, NA1-9428, проектирование генерального плана

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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
gold