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题名: Detection of collapsed buildings with the aerial images captured from UAV
作者: Hua CS(华春生); Qi JT(齐俊桐); SHANG, Hong; HU, Weijian; Han JD(韩建达)
作者部门: 机器人学研究室
关键词: collapsed buildings ; aerial images ; UAV ; online detection ; temporal tracking
刊名: SCIENCE CHINA Information Sciences
ISSN号: 1674-733X
出版日期: 2016
卷号: 59, 期号:3, 页码:1-15
收录类别: SCI ; EI ; CSCD
产权排序: 1
项目资助者: National Science and Technology Support Project (Grant No. 2013BAK03B01) and Program of “One Hundred Talented People” of the Chinese Academy of Sciences (Grant No. Y3F11001).
摘要: In this paper, we present a method of detecting the collapsed buildings with the aerial images which are captured by an unmanned aerial vehicle (UAV) for the postseismic evaluation. Different from the conventional methods that apply the satellite images or the high-altitude UAV for the coarse disaster evaluation over large area, the purpose of this work is to achieve the accurate detection of collapsed buildings in small area from low altitude. By combining the motion and appearance features of collapsed buildings extracted from successive aerial images, each pixel in the input image will be measured by a statistical method where the background pixels will be penalized and the ones of collapsed buildings will be assigned with high value. The candidates of collapsed buildings will be established by integrating the extracted feature points into local groups with the online clustering algorithm. To reduce the false alarm caused by the complex background noise, each predicted candidate will be further verified by the temporal tracking framework where both the trajectory and the appearance of a candidate will be measured. The candidate of collapsed buildings that can survive through long time will be considered as true positive, otherwise rejected as a false alarm. Through extensive experiments, the efficiency and the effectiveness of proposed algorithm have been proved.
语种: 英语
WOS记录号: WOS:000371651100002
WOS标题词: Science & Technology ; Technology
类目[WOS]: Computer Science, Information Systems
关键词[WOS]: EARTHQUAKE
研究领域[WOS]: Computer Science
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内容类型: 期刊论文
URI标识: http://ir.sia.cn/handle/173321/17441
Appears in Collections:机器人学研究室_期刊论文

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Recommended Citation:
Hua CS,Qi JT,SHANG, Hong,et al. Detection of collapsed buildings with the aerial images captured from UAV[J]. SCIENCE CHINA Information Sciences,2016,59(3):1-15.
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