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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Frey, D. Butenuth, M. Hinz, S. |
| Copyright Year | 2009 |
| Description | Author affiliation: Remote Sensing and Computer Vision, Universitaet Karlsruhe, Germany (Hinz, S.) || Remote Sensing Technology, TU Muenchen, Germany (Frey, D.; Butenuth, M.) |
| Abstract | In this paper, we describe and evaluate an image analysis system for the automated verification of intact roads from multi-sensorial spaceborne imagery. The system is designed to support rescue teams during the reaction on natural disasters such as floodings, landslides or earthquakes. Hence, verification of intact roads comprises both the identification of roads as well as the classification of accessible/intact and inaccessible/damaged roads. Depending on the type and complexity of the input data, the system can be run in a fully automatic or semi-automatic mode, where a human operator can edit intermediate results to ensure the required quality of the final results. |
| File Size | 1103390 |
| File Format | |
| ISBN | 9781424433940 |
| DOI | 10.1109/IGARSS.2009.5417400 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-07-12 |
| Publisher Place | South Africa |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Roads Remote sensing Data mining Uncertainty Floods Earthquakes Image segmentation Intelligent networks Disaster management Space technology Integration detection classification multisensor systems |
| Content Type | Text |
| Resource Type | Article |
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