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Detection of collapsed buildings with the aerial images captured from UAV
Hua CS(华春生); Qi JT(齐俊桐); SHANG, Hong; HU, Weijian; Han JD(韩建达)
Department机器人学研究室
Source PublicationSCIENCE CHINA Information Sciences
ISSN1674-733X
2016
Volume59Issue:3Pages:1-15
Indexed BySCI ; EI ; CSCD
EI Accession number20155001672030
WOS IDWOS:000371651100002
CSCD IDCSCD:5644177
Contribution Rank1
Funding OrganizationNational Science and Technology Support Project (Grant No. 2013BAK03B01) and Program of “One Hundred Talented People” of the Chinese Academy of Sciences (Grant No. Y3F11001).
KeywordCollapsed Buildings Aerial Images Uav Online Detection Temporal Tracking
AbstractIn 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.
Language英语
WOS HeadingsScience & Technology ; Technology
WOS SubjectComputer Science, Information Systems
WOS KeywordEARTHQUAKE
WOS Research AreaComputer Science
Citation statistics
Cited Times:8[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/17441
Collection机器人学研究室
Corresponding AuthorQi JT(齐俊桐)
Affiliation1.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 110079, China
2.National Earthquake Response Support Service, Beijing 100049, China
Recommended Citation
GB/T 7714
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.
APA Hua CS,Qi JT,SHANG, Hong,HU, Weijian,&Han JD.(2016).Detection of collapsed buildings with the aerial images captured from UAV.SCIENCE CHINA Information Sciences,59(3),1-15.
MLA Hua CS,et al."Detection of collapsed buildings with the aerial images captured from UAV".SCIENCE CHINA Information Sciences 59.3(2016):1-15.
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