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SEMANTIC POINT CLOUD SEGMENTATION IN URBAN ENVIRONMENTS WITH 1D CONVOLUTIONAL NEURAL NETWORKS

Convolutional Neural Networks (CNNs) have been widely recognized for their efficacy in image analysis tasks. This paper investigates the application of the 1D-CNN variant CNNs for the semantic segmentation of urban point clouds obtained through Mobile Laser Scanning. Ten well-known local geometric f...

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מידע ביבליוגרפי
Principais autores: S. M. González-Collazo, N. Canedo-González, E. González, J. Balado
פורמט: Artigo
שפה:Inglês
יצא לאור: Copernicus Publications 2024-03-01
סדרה:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
גישה מקוונת:https://isprs-archives.copernicus.org/articles/XLVIII-4-W9-2024/205/2024/isprs-archives-XLVIII-4-W9-2024-205-2024.pdf
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