Tsunami Damage Detection with Remote Sensing: A Review

被引:43
作者
Koshimura, Shunichi [1 ,4 ]
Moya, Luis [1 ,2 ]
Mas, Erick [1 ,4 ]
Bai, Yanbing [3 ]
机构
[1] Tohoku Univ, Int Res Inst Disaster Sci, Sendai, Miyagi 9808572, Japan
[2] Natl Univ Engn, Japan Peru Ctr Earthquake Engn Res & Disaster Mit, Lima 15333, Peru
[3] Renmin Univ China, Sch Stat, Ctr Appl Stat, Beijing 100872, Peoples R China
[4] Tohoku Univ, Int Res Inst Disaster Sci, Aoba Ku, Aoba 468-1, Sendai, Miyagi 9808572, Japan
关键词
tsunami; damage detection; remote sensing; machine learning; deep learning; DIFFERENCE WATER INDEX; DEVELOPING FRAGILITY FUNCTIONS; TERRASAR-X INTENSITY; BUILDING DAMAGE; 2011; TOHOKU; AFFECTED AREAS; COLLAPSED BUILDINGS; MAXIMUM-LIKELIHOOD; IMAGE-ANALYSIS; EARTHQUAKE;
D O I
10.3390/geosciences10050177
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Tsunamis are rare events compared with the other natural disasters, but once it happens, it can be extremely devastating to the coastal communities. Extensive inland penetration of tsunamis may cause the difficulties of understanding its impact in the aftermath of its generation. Therefore the social needs to technologies of detecting the wide impact of great tsunamis have been increased. Recent advances of remote sensing and technologies of image analysis meet the above needs and lead to more rapid and efficient understanding of tsunami affected areas. This paper provides a review of how remote sensing methods have developed to contribute to post-tsunami disaster response. The evaluations in the performances of the remote sensing methods are discussed according to the needs of tsunami disaster response with future perspective.
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页数:28
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