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Review Article Open Access November 30, 2022

A Review of Application of LiDAR and Geospatial Modeling for Detection of Buildings Using Artificial Intelligence Approaches

Olly Harouni 1 and Alan Forghani 1, 2
1
Faculty of Science & Technology, University of Canberra (UC), Canberra, Australia, Australia
2
Science, Technology, Engineering and Mathematics (STEM), University of South Australia (UniSA), Adelaide, Australia
Publihed in: Current Research in Public Health (Volume 2, Issue 1, 2022)
Page(s): 47-59
DOI: 10.31586/wjgg.2022.477
Received
October 06, 2022
Revised
November 20, 2022
Accepted
November 28, 2022
Published
November 30, 2022
Keywords
LiDAR; Building Detection; Machine Learning; Artificial Intelligence; Imaging; Remote Sensing; GIS; Geospatial Modeling; and Mapping
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright: Copyright © The Author(s), 2022. Published by Scientific Publications
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Cite This Article

APA Style
Harouni, O. , & Forghani, A. (2022). A Review of Application of LiDAR and Geospatial Modeling for Detection of Buildings Using Artificial Intelligence Approaches. Current Research in Public Health, 2(1), 47-59. https://doi.org/10.31586/wjgg.2022.477
ACS Style
Harouni, O. ; Forghani, A. A Review of Application of LiDAR and Geospatial Modeling for Detection of Buildings Using Artificial Intelligence Approaches. Current Research in Public Health 2022 2(1), 47-59. https://doi.org/10.31586/wjgg.2022.477
Chicago/Turabian Style
Harouni, Olly, and Alan Forghani. 2022. "A Review of Application of LiDAR and Geospatial Modeling for Detection of Buildings Using Artificial Intelligence Approaches". Current Research in Public Health 2, no. 1: 47-59. https://doi.org/10.31586/wjgg.2022.477
AMA Style
Harouni O, Forghani A. A Review of Application of LiDAR and Geospatial Modeling for Detection of Buildings Using Artificial Intelligence Approaches. Current Research in Public Health. 2022; 2(1):47-59. https://doi.org/10.31586/wjgg.2022.477 
@Article{crph477,
AUTHOR = {Harouni, Olly and Forghani, Alan},
TITLE = {A Review of Application of LiDAR and Geospatial Modeling for Detection of Buildings Using Artificial Intelligence Approaches},
JOURNAL = {Current Research in Public Health},
VOLUME = {2},
YEAR = {2022},
NUMBER = {1},
PAGES = {47-59},
URL = {https://www.scipublications.com/journal/index.php/WJGG/article/view/477},
ISSN = {2831-5162},
DOI = {10.31586/wjgg.2022.477},
ABSTRACT = {Today, the presentation of a three-dimensional model of real-world features is very important and widely used and has attracted the attention of researchers in various fields, including surveying and spatial information systems, and those interested in the three-dimensional reconstruction of buildings. The building is the key part of the information in a three-dimensional city model, so extracting and modeling buildings from remote sensing data is an important step in building a digital model of a city. LiDAR technology due to its ability to map in all three modes of one-dimensional, two-dimensional, and three-dimensional is a suitable solution to provide hyperspectral and comprehensive images of the building in an urban environment. In this review article, a comprehensive review of the methods used in identifying buildings from the past to the present and appropriate solutions for the future is discussed.},
}
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AB  - Today, the presentation of a three-dimensional model of real-world features is very important and widely used and has attracted the attention of researchers in various fields, including surveying and spatial information systems, and those interested in the three-dimensional reconstruction of buildings. The building is the key part of the information in a three-dimensional city model, so extracting and modeling buildings from remote sensing data is an important step in building a digital model of a city. LiDAR technology due to its ability to map in all three modes of one-dimensional, two-dimensional, and three-dimensional is a suitable solution to provide hyperspectral and comprehensive images of the building in an urban environment. In this review article, a comprehensive review of the methods used in identifying buildings from the past to the present and appropriate solutions for the future is discussed.
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