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Data Processing and Quality Evaluation of a Boat-Based Mobile Laser Scanning System
Mobile mapping systems (MMSs) are used for mapping topographic and urban features which are difficult and time consuming to measure with other instruments. The benefits of MMSs include efficient data collection and versatile usability. This paper investigates the data processing steps and quality of...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3821331/ https://www.ncbi.nlm.nih.gov/pubmed/24048340 http://dx.doi.org/10.3390/s130912497 |
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author | Vaaja, Matti Kukko, Antero Kaartinen, Harri Kurkela, Matti Kasvi, Elina Flener, Claude Hyyppä, Hannu Hyyppä, Juha Järvelä, Juha Alho, Petteri |
author_facet | Vaaja, Matti Kukko, Antero Kaartinen, Harri Kurkela, Matti Kasvi, Elina Flener, Claude Hyyppä, Hannu Hyyppä, Juha Järvelä, Juha Alho, Petteri |
author_sort | Vaaja, Matti |
collection | PubMed |
description | Mobile mapping systems (MMSs) are used for mapping topographic and urban features which are difficult and time consuming to measure with other instruments. The benefits of MMSs include efficient data collection and versatile usability. This paper investigates the data processing steps and quality of a boat-based mobile mapping system (BoMMS) data for generating terrain and vegetation points in a river environment. Our aim in data processing was to filter noise points, detect shorelines as well as points below water surface and conduct ground point classification. Previous studies of BoMMS have investigated elevation accuracies and usability in detection of fluvial erosion and deposition areas. The new findings concerning BoMMS data are that the improved data processing approach allows for identification of multipath reflections and shoreline delineation. We demonstrate the possibility to measure bathymetry data in shallow (0–1 m) and clear water. Furthermore, we evaluate for the first time the accuracy of the BoMMS ground points classification compared to manually classified data. We also demonstrate the spatial variations of the ground point density and assess elevation and vertical accuracies of the BoMMS data. |
format | Online Article Text |
id | pubmed-3821331 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-38213312013-11-09 Data Processing and Quality Evaluation of a Boat-Based Mobile Laser Scanning System Vaaja, Matti Kukko, Antero Kaartinen, Harri Kurkela, Matti Kasvi, Elina Flener, Claude Hyyppä, Hannu Hyyppä, Juha Järvelä, Juha Alho, Petteri Sensors (Basel) Article Mobile mapping systems (MMSs) are used for mapping topographic and urban features which are difficult and time consuming to measure with other instruments. The benefits of MMSs include efficient data collection and versatile usability. This paper investigates the data processing steps and quality of a boat-based mobile mapping system (BoMMS) data for generating terrain and vegetation points in a river environment. Our aim in data processing was to filter noise points, detect shorelines as well as points below water surface and conduct ground point classification. Previous studies of BoMMS have investigated elevation accuracies and usability in detection of fluvial erosion and deposition areas. The new findings concerning BoMMS data are that the improved data processing approach allows for identification of multipath reflections and shoreline delineation. We demonstrate the possibility to measure bathymetry data in shallow (0–1 m) and clear water. Furthermore, we evaluate for the first time the accuracy of the BoMMS ground points classification compared to manually classified data. We also demonstrate the spatial variations of the ground point density and assess elevation and vertical accuracies of the BoMMS data. MDPI 2013-09-17 /pmc/articles/PMC3821331/ /pubmed/24048340 http://dx.doi.org/10.3390/s130912497 Text en © 2013 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 license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Article Vaaja, Matti Kukko, Antero Kaartinen, Harri Kurkela, Matti Kasvi, Elina Flener, Claude Hyyppä, Hannu Hyyppä, Juha Järvelä, Juha Alho, Petteri Data Processing and Quality Evaluation of a Boat-Based Mobile Laser Scanning System |
title | Data Processing and Quality Evaluation of a Boat-Based Mobile Laser Scanning System |
title_full | Data Processing and Quality Evaluation of a Boat-Based Mobile Laser Scanning System |
title_fullStr | Data Processing and Quality Evaluation of a Boat-Based Mobile Laser Scanning System |
title_full_unstemmed | Data Processing and Quality Evaluation of a Boat-Based Mobile Laser Scanning System |
title_short | Data Processing and Quality Evaluation of a Boat-Based Mobile Laser Scanning System |
title_sort | data processing and quality evaluation of a boat-based mobile laser scanning system |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3821331/ https://www.ncbi.nlm.nih.gov/pubmed/24048340 http://dx.doi.org/10.3390/s130912497 |
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