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LiDAR-Based System and Optical VHR Data for Building Detection and Mapping †

The aim of this paper is to highlight how the employment of Light Detection and Ranging (LiDAR) technique can enhance greatly the performance and reliability of many monitoring systems applied to the Earth Observation (EO) and Environmental Monitoring. A short presentation of LiDAR systems, underlyi...

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Autores principales: Ullo, Silvia Liberata, Zarro, Chiara, Wojtowicz, Konrad, Meoli, Giuseppe, Focareta, Mariano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7085660/
https://www.ncbi.nlm.nih.gov/pubmed/32120899
http://dx.doi.org/10.3390/s20051285
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author Ullo, Silvia Liberata
Zarro, Chiara
Wojtowicz, Konrad
Meoli, Giuseppe
Focareta, Mariano
author_facet Ullo, Silvia Liberata
Zarro, Chiara
Wojtowicz, Konrad
Meoli, Giuseppe
Focareta, Mariano
author_sort Ullo, Silvia Liberata
collection PubMed
description The aim of this paper is to highlight how the employment of Light Detection and Ranging (LiDAR) technique can enhance greatly the performance and reliability of many monitoring systems applied to the Earth Observation (EO) and Environmental Monitoring. A short presentation of LiDAR systems, underlying their peculiarities, is first given. References to some review papers are highlighted, as they can be regarded as useful guidelines for researchers interested in using LiDARs. Two case studies are then presented and discussed, based on the use of 2D and 3D LiDAR data. Some considerations are done on the performance achieved through the use of LiDAR data combined with data from other sources. The case studies show how the LiDAR-based systems, combined with optical Very High Resolution (VHR) data, succeed in improving the analysis and monitoring of specific areas of interest, specifically how LiDAR data help in exploring external environment and extracting building features from urban areas. Moreover the discussed Case Studies demonstrate that the use of the LiDAR data, even with a low density of points, allows the development of an automatic procedure for accurate building features extraction, through object-oriented classification techniques, therefore by underlying the importance that even simple LiDAR-based systems play in EO and Environmental Monitoring.
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spelling pubmed-70856602020-04-21 LiDAR-Based System and Optical VHR Data for Building Detection and Mapping † Ullo, Silvia Liberata Zarro, Chiara Wojtowicz, Konrad Meoli, Giuseppe Focareta, Mariano Sensors (Basel) Article The aim of this paper is to highlight how the employment of Light Detection and Ranging (LiDAR) technique can enhance greatly the performance and reliability of many monitoring systems applied to the Earth Observation (EO) and Environmental Monitoring. A short presentation of LiDAR systems, underlying their peculiarities, is first given. References to some review papers are highlighted, as they can be regarded as useful guidelines for researchers interested in using LiDARs. Two case studies are then presented and discussed, based on the use of 2D and 3D LiDAR data. Some considerations are done on the performance achieved through the use of LiDAR data combined with data from other sources. The case studies show how the LiDAR-based systems, combined with optical Very High Resolution (VHR) data, succeed in improving the analysis and monitoring of specific areas of interest, specifically how LiDAR data help in exploring external environment and extracting building features from urban areas. Moreover the discussed Case Studies demonstrate that the use of the LiDAR data, even with a low density of points, allows the development of an automatic procedure for accurate building features extraction, through object-oriented classification techniques, therefore by underlying the importance that even simple LiDAR-based systems play in EO and Environmental Monitoring. MDPI 2020-02-27 /pmc/articles/PMC7085660/ /pubmed/32120899 http://dx.doi.org/10.3390/s20051285 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ullo, Silvia Liberata
Zarro, Chiara
Wojtowicz, Konrad
Meoli, Giuseppe
Focareta, Mariano
LiDAR-Based System and Optical VHR Data for Building Detection and Mapping †
title LiDAR-Based System and Optical VHR Data for Building Detection and Mapping †
title_full LiDAR-Based System and Optical VHR Data for Building Detection and Mapping †
title_fullStr LiDAR-Based System and Optical VHR Data for Building Detection and Mapping †
title_full_unstemmed LiDAR-Based System and Optical VHR Data for Building Detection and Mapping †
title_short LiDAR-Based System and Optical VHR Data for Building Detection and Mapping †
title_sort lidar-based system and optical vhr data for building detection and mapping †
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7085660/
https://www.ncbi.nlm.nih.gov/pubmed/32120899
http://dx.doi.org/10.3390/s20051285
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