MONITORING CAPABILITIES OF A MOBILE MAPPING SYSTEM BASED ON NAVIGATION QUALITIES
Mobile mapping systems are becoming increasingly popular as they can build 3D models of the environment rapidly by using a laser scanner that is integrated with a navigation system. 3D mobile mapping has been widely used for applications such as 3D city modelling and mapping of the scanned environ...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2016-06-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B1/625/2016/isprs-archives-XLI-B1-625-2016.pdf |
| Summary: | Mobile mapping systems are becoming increasingly popular as they can build 3D models of the environment rapidly by using a laser
scanner that is integrated with a navigation system. 3D mobile mapping has been widely used for applications such as 3D city modelling
and mapping of the scanned environments. However, accurate mapping relies on not only the scanner’s performance but also on the
quality of the navigation results (accuracy and robustness) . This paper discusses the potentials of using 3D mobile mapping systems
for landscape change detection, that is traditionally carried out by terrestrial laser scanners that can be accurately geo-referenced at a
static location to produce highly accurate dense point clouds. Yet compared to conventional surveying using terrestrial laser scanners,
several advantages of mobile mapping systems can be identified. A large area can be monitored in a relatively short period, which
enables high repeat frequency monitoring without having to set-up dedicated stations. However, current mobile mapping applications
are limited by the quality of navigation results, especially in different environments. The change detection ability of mobile mapping
systems is therefore significantly affected by the quality of the navigation results. This paper presents some data collected for the
purpose of monitoring from a mobile platform. The datasets are analysed to address current potentials and difficulties. The change
detection results are also presented based on the collected dataset. Results indicate the potentials of change detection using a mobile
mapping system and suggestions to enhance quality and robustness. |
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| ISSN: | 1682-1750 2194-9034 |