A Novel 3D Building Damage Detection Method Using Multiple Overlapping UAV Images
In this paper, a novel approach is presented that applies multiple overlapping UAV imagesto building damage detection. Traditional building damage detection method focus on 2D changes detection (i.e., those only in image appearance), whereas the 2D information delivered by the images is often not su...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2014-09-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-7/173/2014/isprsarchives-XL-7-173-2014.pdf |
| Summary: | In this paper, a novel approach is presented that applies multiple overlapping UAV imagesto building damage
detection. Traditional building damage detection method focus on 2D changes detection (i.e., those only in image
appearance), whereas the 2D information delivered by the images is often not sufficient and accurate when dealing
with building damage detection. Therefore the detection of building damage in 3D feature of scenes is desired. The
key idea of 3D building damage detection is the 3D Change Detection using 3D point cloud obtained from aerial
images through Structure from motion (SFM) techniques. The approach of building damage detection discussed in
this paper not only uses the height changes of 3D feature of scene but also utilizes the image's shape and texture
feature. Therefore, this method fully combines the 2D and 3D information of the real world to detect the building
damage. The results, tested through field study, demonstrate that this method is feasible and effective in building
damage detection. It has also shown that the proposed method is easily applicable and suited well for rapid damage
assessment after natural disasters. |
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| ISSN: | 1682-1750 2194-9034 |