GENERATING 3D CITY MODELS BASED ON THE SEMANTIC SEGMENTATION OF LIDAR DATA USING CONVOLUTIONAL NEURAL NETWORKS

GENERATING 3D CITY MODELS BASED ON THE SEMANTIC SEGMENTATION OF LIDAR DATA USING CONVOLUTIONAL NEURAL NETWORKS

<p>Virtual city models are important for many applications such as urban planning, virtual and augmented reality, disaster management, and gaming. Urban features such as buildings, roads, and trees are essential components of these models and are subject to frequent change and alteration. It i...

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Bibliographic Details
Main Authors:	A. Agoub, V. Schmidt, M. Kada
Format:	Article
Language:	English
Published:	Copernicus Publications 2019-09-01
Series:	ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:	https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-4-W8/3/2019/isprs-annals-IV-4-W8-3-2019.pdf

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