sapiСистемный анализ и прикладная информатика«System analysis and applied information science»2309-49232414-0481Belarusian National Technical University10.21122/2309-4923-2022-1-9-11sapi-546Research ArticleСистемный анализSystem analysisАлгоритм обнаружения озер в облаках точек лидарного изображения на основе трехмерной сверточной нейронной сетиLake detection algorithm in point clouds of the lidar image based on three-dimensional convolutional neural networkСюШаньшаньShanshanXu529031585@qq.comБелорусский национальный технический университетБеларусьBelarusian National Technical UniversityBelarus20220806202201911Copyright © Сю Ш., 20222022Сю Ш.Shanshan X.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://sapi.bntu.by/jour/article/view/546

Предлагается алгоритм обнаружения озер в облаке точек лидарного изображения на основе трехмерной сверточной нейронной сети. Контуры озер были извлечены из облаков точек лидарного изображения, а их геометрические характеристики определены с использованием алгоритма цепного кода. Точность предложенного алгоритма идентификации озер по облакам точек лазерного сканирования составила 96,34%. Предлагаемый алгоритм позволяет рассчитывать и анализировать информацию о форме озер.

An algorithm for detecting lakes in a point cloud of a lidar image based on a three-dimensional convolutional neural network is proposed. The contours of the lakes were extracted from the point clouds of the lidar image and their geometric characteristics were determined using the chain code algorithm. The accuracy of the proposed algorithm for identifying lakes from clouds of laser scanning points was 96.34%. The proposed algorithm can calculate and analyze information about the shape of lakes.

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The authors declare that there are no conflicts of interest present.