MSIM: a change detection framework for damage assessment in natural disasters

Qin, Dong, Zhou, Xiangmin, Zhou, Weiyi, Huang, Guangyan, Ren, Yongli, Horan, Ben, He, Jing and Kito, Naoki 2018, MSIM: a change detection framework for damage assessment in natural disasters, Expert Systems with Applications, vol. 97, pp. 372-383, doi: 10.1016/j.eswa.2017.12.038.

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Title MSIM: a change detection framework for damage assessment in natural disasters
Author(s) Qin, Dong
Zhou, Xiangmin
Zhou, Weiyi
Huang, GuangyanORCID iD for Huang, Guangyan orcid.org/0000-0002-1821-8644
Ren, Yongli
Horan, BenORCID iD for Horan, Ben orcid.org/0000-0002-6723-259X
He, Jing
Kito, Naoki
Journal name Expert Systems with Applications
Volume number 97
Start page 372
End page 383
Total pages 12
Publisher Pergamon Press
Place of publication Oxford, Eng.
Publication date 2018-05-01
ISSN 0957-4174
Keyword(s) change detection
social images
disaster assessment
Science & Technology
Technology
Computer Science, Artificial Intelligence
Engineering, Electrical & Electronic
Operations Research & Management Science
Computer Science
Engineering
DESCRIPTORS
BUILDINGS
IMAGES
Language eng
DOI 10.1016/j.eswa.2017.12.038
Field of Research 01 Mathematical Sciences
08 Information And Computing Sciences
0801 Artificial Intelligence and Image Processing
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2018, Elsevier
Persistent URL http://hdl.handle.net/10536/DRO/DU:30105981

Document type: Journal Article
Collections: School of Information Technology
School of Engineering
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