A comprehensive review of earthquake-induced building damage detection with remote sensing techniques |
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| Institution: | 1. School of Remote Sensing and Information Engineering, Wuhan University, 129 Luoyu Rd., 430079 Wuhan, China;2. School of Civil Engineering, Purdue University, West Lafayette, IN 47907, USA;1. National Disaster Reduction Center of China, The Ministry of Emergency Management of China, Beijing, China;2. Hangzhou Innovation Institute, Beihang University, Beijing, China;3. State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, China;1. German Aerospace Center (DLR), German Remote Sensing Data Center (DFD), Münchner Straße 20, 82234 Oberpfaffenhofen-Weßling, Germany;2. Humboldt Universität zu Berlin, Geography Department, Rudower Chaussee 16, 12489 Berlin, Germany;3. Institut Teknologi Bandung, X-PAU Building, Ganesha 10, Bandung, Indonesia;4. Geoscience Australia, GPO Box 378, Canberra, ACT 2601, Australia;1. Geethanjali College of Engineering and Technology, Hyderabad, India;2. School of Civil Engineering, Beijing Jiaotong University, Beijing, China;3. Wind Engineering Research Center, Tokyo Polytechnic University, Atsugi, Japan;1. University of Science and Technology “Saad Dahlab”, Department of Civil Engineering, BP270 Blida, Algeria;2. University Paris-Est, Laboratory Modeling and Simulation Multi-Scale (MSME UMR 8205/CNRS), 5 Blvd Descartes, Marne-la-Vallee, France |
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| Abstract: | Earthquakes are among the most catastrophic natural disasters to affect mankind. One of the critical problems after an earthquake is building damage assessment. The area, amount, rate, and type of the damage are essential information for rescue, humanitarian and reconstruction operations in the disaster area. Remote sensing techniques play an important role in obtaining building damage information because of their non-contact, low cost, wide field of view, and fast response capacities. Now that more and diverse types of remote sensing data become available, various methods are designed and reported for building damage assessment. This paper provides a comprehensive review of these methods in two categories: multi-temporal techniques that evaluate the changes between the pre- and post-event data and mono-temporal techniques that interpret only the post-event data. Both categories of methods are discussed and evaluated in detail in terms of the type of remote sensing data utilized, including optical, LiDAR and SAR data. Performances of the methods and future efforts are drawn from this extensive evaluation. |
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| Keywords: | Earthquakes Building damage detection Remote sensing |
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