An image engineering approach to analysing mobile mapping data
Vehicle-based mobile mapping systems capture co-registered imagery and 3D point cloud information over hundreds of kilometres of transport corridor. Methods for extracting information from these large datasets are labour intensive. These need to be easily configured by non-expert users to process im...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Conference Paper |
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CEUR Workshop Proceedings (CEUR-WS.org) Online Proceedings for Scientific Workshops
2014
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| Online Access: | http://ceur-ws.org/Vol-1142/paper14.pdf http://hdl.handle.net/20.500.11937/26959 |
| _version_ | 1848752132007657472 |
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| author | Borck, Michael West, Geoff Tan, Tele |
| author2 | Stephan Winter, Chris Rizos |
| author_facet | Stephan Winter, Chris Rizos Borck, Michael West, Geoff Tan, Tele |
| author_sort | Borck, Michael |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Vehicle-based mobile mapping systems capture co-registered imagery and 3D point cloud information over hundreds of kilometres of transport corridor. Methods for extracting information from these large datasets are labour intensive. These need to be easily configured by non-expert users to process images and develop new workflows. Image Engineering provides a framework to combine known image processing, image analysis an image understanding methods into powerful applications. Such a system was built using Orange an open source toolkit for machine learning onto which image processing, visualisation and data acquisition methods were added. The system presented here enable users who are not programmers to manage image data and to customise their analyses by combining common data analysis tools to fit their needs. Case studies are provided to demonstrate the utility of the system. Co-registered imagery and depth data of urban transport corridors provided by the Earthmine dataset and laser ranging systems are used. |
| first_indexed | 2025-11-14T08:03:45Z |
| format | Conference Paper |
| id | curtin-20.500.11937-26959 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:03:45Z |
| publishDate | 2014 |
| publisher | CEUR Workshop Proceedings (CEUR-WS.org) Online Proceedings for Scientific Workshops |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-269592017-01-30T12:56:14Z An image engineering approach to analysing mobile mapping data Borck, Michael West, Geoff Tan, Tele Stephan Winter, Chris Rizos Vehicle-based mobile mapping systems capture co-registered imagery and 3D point cloud information over hundreds of kilometres of transport corridor. Methods for extracting information from these large datasets are labour intensive. These need to be easily configured by non-expert users to process images and develop new workflows. Image Engineering provides a framework to combine known image processing, image analysis an image understanding methods into powerful applications. Such a system was built using Orange an open source toolkit for machine learning onto which image processing, visualisation and data acquisition methods were added. The system presented here enable users who are not programmers to manage image data and to customise their analyses by combining common data analysis tools to fit their needs. Case studies are provided to demonstrate the utility of the system. Co-registered imagery and depth data of urban transport corridors provided by the Earthmine dataset and laser ranging systems are used. 2014 Conference Paper http://hdl.handle.net/20.500.11937/26959 http://ceur-ws.org/Vol-1142/paper14.pdf CEUR Workshop Proceedings (CEUR-WS.org) Online Proceedings for Scientific Workshops restricted |
| spellingShingle | Borck, Michael West, Geoff Tan, Tele An image engineering approach to analysing mobile mapping data |
| title | An image engineering approach to analysing mobile mapping data |
| title_full | An image engineering approach to analysing mobile mapping data |
| title_fullStr | An image engineering approach to analysing mobile mapping data |
| title_full_unstemmed | An image engineering approach to analysing mobile mapping data |
| title_short | An image engineering approach to analysing mobile mapping data |
| title_sort | image engineering approach to analysing mobile mapping data |
| url | http://ceur-ws.org/Vol-1142/paper14.pdf http://hdl.handle.net/20.500.11937/26959 |