SEMANTIC URBAN MESH SEGMENTATION BASED ON AERIAL OBLIQUE IMAGES AND POINT CLOUDS USING DEEP LEARNING

SEMANTIC URBAN MESH SEGMENTATION BASED ON AERIAL OBLIQUE IMAGES AND POINT CLOUDS USING DEEP LEARNING

The use of deep machine learning methods for semantic classification of city mesh models is one of the current trends in geoscience development. Thanks to the thriving development of Convolutional Neural Networks (CNNs) it is now achievable to conduct fully automated process of building aforemention...

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Bibliographic Details
Main Authors:	Ł. Wilk, D. Mielczarek, W. Ostrowski, W. Dominik, J. Krawczyk
Format:	Article
Language:	English
Published:	Copernicus Publications 2022-05-01
Series:	The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:	https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B2-2022/485/2022/isprs-archives-XLIII-B2-2022-485-2022.pdf

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