Hybrid algorithms of laser scanning point cloud for topological analysis

Результат исследований: Публикации в книгах, отчётах, сборниках, трудах конференцийглава/разделнаучнаярецензирование

Выдержка

Laser scanning technologies are widely used to solve civil engineering problems and land use management in a GIS environment including digital terrain models (DTMs) creation. Some gaps in raw laser scanning data processing algorithms for DTM are analyzed. Algorithms for filtration, triangulation, and defragmentation are proposed. Advantages and disadvantages of the algorithms proposed are discussed. Triangulation algorithm can serve to defragment cloud of laser scanning points into semantic component parts. Defragmentation includes recognition of engineering objects and other objects of the terrain and their delineation. Results of applications to real problems show the robustness of algorithms proposed.

Языканглийский
Название основной публикацииAdvances in Intelligent Systems and Computing
ИздательSpringer
Страницы223-234
Число страниц12
DOI
СостояниеОпубликовано - 1 янв 2019

Серии публикаций

ИмяAdvances in Intelligent Systems and Computing
Том797
ISSN (печатная версия)2194-5357

Ключевые слова

    Предметные области Scopus

    • Системотехника
    • Компьютерные науки (все)

    Цитировать

    Badenko, V., Fedotov, A., & Vinogradov, K. (2019). Hybrid algorithms of laser scanning point cloud for topological analysis. В Advances in Intelligent Systems and Computing (стр. 223-234). (Advances in Intelligent Systems and Computing; Том 797). Springer. https://doi.org/10.1007/978-981-13-1165-9_20
    Badenko, Vladimir ; Fedotov, Alexander ; Vinogradov, Konstantin. / Hybrid algorithms of laser scanning point cloud for topological analysis. Advances in Intelligent Systems and Computing. Springer, 2019. стр. 223-234 (Advances in Intelligent Systems and Computing).
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    abstract = "Laser scanning technologies are widely used to solve civil engineering problems and land use management in a GIS environment including digital terrain models (DTMs) creation. Some gaps in raw laser scanning data processing algorithms for DTM are analyzed. Algorithms for filtration, triangulation, and defragmentation are proposed. Advantages and disadvantages of the algorithms proposed are discussed. Triangulation algorithm can serve to defragment cloud of laser scanning points into semantic component parts. Defragmentation includes recognition of engineering objects and other objects of the terrain and their delineation. Results of applications to real problems show the robustness of algorithms proposed.",
    keywords = "Algorithm, Cloud of points, Digital terrain model, Laser scanning, Triangulation",
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    Badenko, V, Fedotov, A & Vinogradov, K 2019, Hybrid algorithms of laser scanning point cloud for topological analysis. в Advances in Intelligent Systems and Computing. Advances in Intelligent Systems and Computing, том. 797, Springer, стр. 223-234. https://doi.org/10.1007/978-981-13-1165-9_20

    Hybrid algorithms of laser scanning point cloud for topological analysis. / Badenko, Vladimir; Fedotov, Alexander; Vinogradov, Konstantin.

    Advances in Intelligent Systems and Computing. Springer, 2019. стр. 223-234 (Advances in Intelligent Systems and Computing; Том 797).

    Результат исследований: Публикации в книгах, отчётах, сборниках, трудах конференцийглава/разделнаучнаярецензирование

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    T1 - Hybrid algorithms of laser scanning point cloud for topological analysis

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    AU - Fedotov, Alexander

    AU - Vinogradov, Konstantin

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    N2 - Laser scanning technologies are widely used to solve civil engineering problems and land use management in a GIS environment including digital terrain models (DTMs) creation. Some gaps in raw laser scanning data processing algorithms for DTM are analyzed. Algorithms for filtration, triangulation, and defragmentation are proposed. Advantages and disadvantages of the algorithms proposed are discussed. Triangulation algorithm can serve to defragment cloud of laser scanning points into semantic component parts. Defragmentation includes recognition of engineering objects and other objects of the terrain and their delineation. Results of applications to real problems show the robustness of algorithms proposed.

    AB - Laser scanning technologies are widely used to solve civil engineering problems and land use management in a GIS environment including digital terrain models (DTMs) creation. Some gaps in raw laser scanning data processing algorithms for DTM are analyzed. Algorithms for filtration, triangulation, and defragmentation are proposed. Advantages and disadvantages of the algorithms proposed are discussed. Triangulation algorithm can serve to defragment cloud of laser scanning points into semantic component parts. Defragmentation includes recognition of engineering objects and other objects of the terrain and their delineation. Results of applications to real problems show the robustness of algorithms proposed.

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    KW - Cloud of points

    KW - Digital terrain model

    KW - Laser scanning

    KW - Triangulation

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    Badenko V, Fedotov A, Vinogradov K. Hybrid algorithms of laser scanning point cloud for topological analysis. В Advances in Intelligent Systems and Computing. Springer. 2019. стр. 223-234. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-981-13-1165-9_20