Construction of 3D models of buildings damaged by earthquakes using UAV aerial images

Unmanned aerial vehicles (UAVs) are becoming very popular recently due to their accessibility to targets, promptness of dispatch, and high-spatial resolution of acquired images. In this study, the authors tried to obtain digital images from air and ground for a turned-down and washed-away building in Onagawa Town, Miyagi Prefecture, Japan due to the 2011 Tohoku earthquake and tsunami. A small multirotortype UAV was used in this aerial survey. Then 3D models were constructed in computer using the acquired images based on the Structure-from-Motion (SfM) technique. The most accurate model was made when both the aerial and ground images were used for 3D modelling. As the second example, an aerial video taken from UAVs was used to model affected districts in Kathmandu, Nepal, due the Mw7.8 Gorkha earthquake on April 25, 2015. The video was taken by the Canadian humanitarian organization and released on Internet. The 3D models were developed from the video footage, and they show the details of damage situation in the urban districts.

[1]  Fumio Yamazaki,et al.  DETECTION OF COLLAPSED BUILDINGS DUE TO EARTHQUAKES USING A DIGITAL SURFACE MODEL CONSTRUCTED FROM AERIAL IMAGES , 2014 .

[2]  G LoweDavid,et al.  Distinctive Image Features from Scale-Invariant Keypoints , 2004 .

[3]  Paolo Gamba,et al.  Remote Sensing and Earthquake Damage Assessment: Experiences, Limits, and Perspectives , 2012, Proceedings of the IEEE.

[4]  Kenzo Nonami,et al.  Autonomous Flying Robots , 2010 .

[5]  Ellen M. Rathje,et al.  The Role of Remote Sensing in Earthquake Science and Engineering: Opportunities and Challenges , 2008 .

[6]  Richard Szeliski,et al.  Modeling the World from Internet Photo Collections , 2008, International Journal of Computer Vision.

[7]  Norman Kerle,et al.  UAV-based urban structural damage assessment using object-based image analysis and semantic reasoning , 2014 .

[8]  Horst Bischof,et al.  Building with drones: Accurate 3D facade reconstruction using MAVs , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

[9]  F. Yamazaki,et al.  Extraction of Tsunami-Flooded Areas and Damaged Buildings in the 2011 Tohoku-Oki Earthquake from TerraSAR-X Intensity Images , 2013 .

[10]  Hajime Mitomi,et al.  Automated damage detection of buildings from aerial television images of the 2001 Gujarat, India earthquake , 2001, IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217).

[11]  Fumihiko Imamura,et al.  Damage Characteristic and Field Survey of the 2011 Great East Japan Tsunami in Miyagi Prefecture , 2012 .

[12]  M. Matsuoka,et al.  REMOTE SENSING TECHNOLOGIES IN POST-DISASTER DAMAGE ASSESSMENT , 2007 .