An Automated Process of Creating 3D City Model for Monitoring Urban Infrastructures
Author(s) -
Mirko Borisov,
Vladimir Radulović,
Zoran Ilić,
Vladimir M. Petrović,
Nenad Rakićević
Publication year - 2022
Publication title -
journal of geographical research
Language(s) - English
Resource type - Journals
ISSN - 2630-5070
DOI - 10.30564/jgr.v5i2.4093
Subject(s) - point cloud , process (computing) , lidar , computer science , architecture , cloud computing , software , 3d model , laser scanning , point (geometry) , architectural engineering , remote sensing , engineering , geography , artificial intelligence , operating system , archaeology , laser , physics , geometry , mathematics , optics
This paper describes the process of designing models and tools for an automated way of creating 3D city model based on a raw point cloud.Also, making and forming 3D models of buildings. Models and tools for creating tools made in the model builder application within the ArcGIS Pro software. An unclassified point cloud obtained by the LiDAR system was used for the model input data. The point cloud, collected by the airborne laser scanning system (ALS), is classified into several classes: ground, high and low noise, and buildings. Based on the created DEMs, points classified as buildings and formed prints of buildings, realistic 3D city models were created. Created 3D models of cities can be used as a basis for monitoring the infrastructure of settlements and other analyzes that are important for further development and architecture of cities.
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