Literature DB >> 32120899

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

Silvia Liberata Ullo1, Chiara Zarro1, Konrad Wojtowicz2, Giuseppe Meoli3, Mariano Focareta3.   

Abstract

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.

Entities:  

Keywords:  2D LiDARs; 3D LiDARs; LiDAR technology; Object-Based Image Analysis (OBIA); WorldView-2; analysis and classification; building feature extraction; environmental monitoring; optical VHR data

Year:  2020        PMID: 32120899     DOI: 10.3390/s20051285

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  1 in total

1.  Industrial Robot Control by Means of Gestures and Voice Commands in Off-Line and On-Line Mode.

Authors:  Wojciech Kaczmarek; Jarosław Panasiuk; Szymon Borys; Patryk Banach
Journal:  Sensors (Basel)       Date:  2020-11-07       Impact factor: 3.576

  1 in total

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