Rapid three-dimensional detection approach for building damage due to earthquakes by the use of parallel processing of unmanned aerial vehicle imagery
Rapid three-dimensional detection approach for building damage due to earthquakes by the use of parallel processing of unmanned aerial vehicle imagery
复制标题
利用无人机图像并行处理的地震建筑物损坏快速三维检测方法
DOI：
10.1117/1.jrs.9.097292
复制
发表时间：
2015
影响因子：
1.7
通讯作者：
Liu Shijie
中科院分区：
文献类型：
--
作者：
Hong Zhonghua;Tong Xiaohua;Cao Wen;Jiang Shenglu;Chen Peng;Liu Shijie
摘要。地震后快速评估损失对有效的应急反应至关重要。随着无人机技术的快速发展，无人机可以用于快速评估建筑物的损坏情况，具有操作实时、灵活、成本低等优点。然而，无人机图像是“大数据”，无人机可以在短时间内获得数百张场景图像。因此，加快无人机图像的处理时间是非常重要的。本文提出了一种利用震前数字地形图和震后无人机图像并行处理的方法，以提高建筑物三维损伤自动检测的速度。从2013年四川宝兴县雅安地震三维建筑损伤检测的实验结果来看，利用震后无人机图像生成数字表面模型的并行处理的比较表明，多核中央处理器（CPU）和基于图形处理单元的并行处理的总成本比单核CPU实现的总成本快11.0倍左右。
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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影响因子：
1.3
作者：
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通讯作者：
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影响因子：
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作者：
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DOI：
10.1109/tgrs.2009.2038274
发表时间：
2010-05-01
影响因子：
8.2
作者：
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通讯作者：
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DOI：
10.1109/tgrs.2008.2002695
发表时间：
2009-01-01
影响因子：
8.2
作者：
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通讯作者：
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