dc.identifier.uri | http://dx.doi.org/10.15488/1139 | |
dc.identifier.uri | http://www.repo.uni-hannover.de/handle/123456789/1163 | |
dc.contributor.author | Wegner, Jan Dirk | |
dc.contributor.author | Ok, A.O. | |
dc.contributor.author | Thiele, A. | |
dc.contributor.author | Rottensteiner, Franz | |
dc.contributor.author | Sörgel, Uwe | |
dc.date.accessioned | 2017-02-07T10:17:28Z | |
dc.date.available | 2017-02-07T10:17:28Z | |
dc.date.issued | 2010 | |
dc.identifier.citation | Wegner, J. D.; Ok, A. O.; Thiele, A.; Rottensteiner, F.; Soergel, U.: Urban building detection from optical and insar features exploiting context. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: [PCV 2010 - Photogrammetric Computer Vision And Image Analysis, Pt I] 38 (2010), Nr. Part 3A, S. 239-244. DOI: | |
dc.description.abstract | We investigate the potential of combined features of aerial images and high-resolution interferometric SAR (InSAR) data for building detection in urban areas. It is shown that completeness and correctness may be increased if we integrate both InSAR double-bounce lines and 3D lines of stereo data in addition to building hints of a single optical orthophoto. In order to exploit context information, which is crucial for object detection in urban areas, we use a Conditional Random Field approach. It proves to be a valuable method for context-based building detection with multi-sensor features. | eng |
dc.language.iso | eng | |
dc.publisher | Göttingen : Copernicus GmbH | |
dc.relation.ispartofseries | International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: [PCV 2010 - Photogrammetric Computer Vision And Image Analysis, Pt I] 38 (2010), Nr. Part 3A | |
dc.rights | CC BY 3.0 Unported | |
dc.rights.uri | https://creativecommons.org/licenses/by/3.0/ | |
dc.subject | Conditional Random Fields | eng |
dc.subject | Remote Sensing | eng |
dc.subject | Fusion | eng |
dc.subject | InSAR Data | eng |
dc.subject | Optical Stereo Data | eng |
dc.subject | Urban Area | eng |
dc.subject | random-fields | eng |
dc.subject | fusion | eng |
dc.subject | sar | eng |
dc.subject.classification | Konferenzschrift | ger |
dc.subject.ddc | 550 | Geowissenschaften | ger |
dc.title | Urban building detection from optical and insar features exploiting context | eng |
dc.type | Article | |
dc.type | Text | |
dc.relation.issn | 2194-9034 | |
dc.bibliographicCitation.issue | Part 3A | |
dc.bibliographicCitation.volume | 38 | |
dc.bibliographicCitation.firstPage | 239 | |
dc.bibliographicCitation.lastPage | 244 | |
dc.description.version | publishedVersion | |
tib.accessRights | frei zug�nglich |
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