A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä
Data Processing and Quality Evaluation of a Boat-Based Mobile Laser Scanning System
Tekijät: Vaaja M, Kukko A, Kaartinen H, Kurkela M, Kasvi E, Flener C, Hyyppä H, Hyyppä J, Järvelä J, Alho P
Kustantaja: MDPI AG
Julkaisuvuosi: 2013
Journal: Sensors
Tietokannassa oleva lehden nimi: SENSORS
Lehden akronyymi: SENSORS-BASEL
Numero sarjassa: 9
Vuosikerta: 13
Numero: 9
Aloitussivu: 12497
Lopetussivu: 12515
Sivujen määrä: 19
ISSN: 1424-8220
eISSN: 1424-8220
DOI: https://doi.org/10.3390/s130912497
Verkko-osoite: http://www.mdpi.com/1424-8220/13/9/12497
Tiivistelmä
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.
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.
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