Special Section on Management and Analytics of Remotely Sensed Big Data

Rapid three-dimensional detection approach for building damage due to earthquakes by the use of parallel processing of unmanned aerial vehicle imagery

[+] Author Affiliations
Zhonghua Hong

Shanghai Ocean University, College of Information Technology, 999 Huchenghuan Road, Shanghai 201306, China

Tongji University, College of Surveying and Geo-informatics, 1239 Siping Road, Shanghai 200092, China

Xiaohua Tong, Wen Cao, Peng Chen, Shijie Liu

Tongji University, College of Surveying and Geo-informatics, 1239 Siping Road, Shanghai 200092, China

Shenglu Jiang

Shanghai Ocean University, College of Information Technology, 999 Huchenghuan Road, Shanghai 201306, China

J. Appl. Remote Sens. 9(1), 097292 (May 12, 2015). doi:10.1117/1.JRS.9.097292
History: Received January 1, 2015; Accepted April 10, 2015
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Abstract.  Rapid damage assessment after an earthquake is vital for an efficient emergency response. With the rapid development of unmanned aerial vehicles (UAVs), they can now be used to rapidly assess the building damage and have the advantages of real-time operation, flexibility, low cost, etc. However, UAV images are “big data,” and UAVs can obtain hundreds of scene images in a short period of time. It is, therefore, important to speed up the processing time for UAV images. This paper proposes a parallel processing approach for accelerating the speed of automatic three-dimensional (3-D) building damage detection, using a preseismic digital topographical map and postseismic UAV images. From the experimental results obtained from 3-D building damage detection of the 2013 Ya’an earthquake in Baoxing County, Sichuan province of China, the comparison of the parallel processing in terms of digital surface model generation using postseismic UAV images shows that the total cost of the multicores central processing units (CPUs) and graphics processing unit-based implementation is about 11.0 times faster than the single-core CPU implementation.

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© 2015 Society of Photo-Optical Instrumentation Engineers

Citation

Zhonghua Hong ; Xiaohua Tong ; Wen Cao ; Shenglu Jiang ; Peng Chen, et al.
"Rapid three-dimensional detection approach for building damage due to earthquakes by the use of parallel processing of unmanned aerial vehicle imagery", J. Appl. Remote Sens. 9(1), 097292 (May 12, 2015). ; http://dx.doi.org/10.1117/1.JRS.9.097292


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