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DC Field | Value | Language |
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dc.contributor.author | Galarreta, J. Fernandez | |
dc.date.accessioned | 2020-02-18T02:31:58Z | - |
dc.date.available | 2020-02-18T02:31:58Z | - |
dc.date.issued | 2015 | |
dc.identifier.citation | Natural hazards and earth system sciences (NHESS)Vol.15 (2015), No.6, pp. 1087-1101 | |
dc.identifier.uri | http://tailieuso.tlu.edu.vn/handle/DHTL/5093 | - |
dc.description.abstract | Structural damage assessment is critical after disasters but remains a challenge. Many studies have explored the potential of remote sensing data, but limitations of vertical data persist. Oblique imagery has been identified as more useful, though the multi-angle imagery also adds a new dimension of complexity. This paper addresses damage assessment based on multi-perspective, overlapping, very high resolution oblique images obtained with unmanned aerial vehicles (UAVs). 3-D point-cloud assessment for the entire building is combined with detailed object-based image analysis (OBIA) of façades and roofs. This research focuses not on automatic damage assessment, but on creating a methodology that supports the often ambiguous classification of intermediate damage levels, aiming at producing comprehensive per-building damage scores. We identify completely damaged structures in the 3-D point cloud, and for all other cases provide the OBIA-based damage indicators to be used as auxiliary information by damage analysts. The results demonstrate the usability of the 3-D point-cloud data to identify major damage features. Also the UAV-derived and OBIA-processed oblique images are shown to be a suitable basis for the identification of detailed damage features on façades and roofs. Finally, we also demonstrate the possibility of aggregating the multi-perspective damage information at building level. | |
dc.description.uri | http://www.nat-hazards-earth-syst-sci.net/15/1087/2015/nhess-15-1087-2015.pdf | |
dc.language | eng | |
dc.subject | multi-angle imagery | |
dc.subject | remote sensing | |
dc.subject | Structural damage assessment | |
dc.title | UAV-based urban structural damage assessment using object-based image analysis and semantic reasoning | |
dc.type | BB | |
dc.date.update | 20181112142726.0 | |
dc.date.submitte | 130605s2015 | |
Appears in Collections: | Tài liệu mở |
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