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A comprehensive review of earthquake-induced building damage detection with remote sensing techniques

Laigen Dong, Jie Shan
2013 ISPRS journal of photogrammetry and remote sensing (Print)  
Now that more and diverse types of remote sensing data become available, various methods are designed and reported for building damage assessment.  ...  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.  ...  Acknowledgement This work was partially supported by the National Basic Research Program of China under Grant 2012CB719904.  ... 
doi:10.1016/j.isprsjprs.2013.06.011 fatcat:mnko77qanfbtpj5qvqv5gbo27i

Transferability of Convolutional Neural Network Models for Identifying Damaged Buildings Due to Earthquake

Wanting Yang, Xianfeng Zhang, Peng Luo
2021 Remote Sensing  
The collapse of buildings caused by earthquakes can lead to a large loss of life and property. Rapid assessment of building damage with remote sensing image data can support emergency rescues.  ...  Using satellite and aerial remote sensing data obtained after the 2008 Wenchuan earthquake, we examined the geographic and data transferability of the deep network model pre-trained on the xBD dataset.  ...  We also appreciate the creators of the xBD dataset for producing this valuable public data. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs13030504 fatcat:6cz4jwm64jd3pjk7knmwm5dzpu

Damage assessment framework for landslide disaster based on very high-resolution images

Bo Sun, Qihua Xu, Jun He, Zhen Liu, Ying Wang, Fengxiang Ge
2016 Journal of Applied Remote Sensing  
The effectiveness of the proposed framework was verified by applying it to remote-sensing images from Wenchuan County, China, in 2008, in the aftermath of an earthquake.  ...  Based on an analysis of very high-resolution remote-sensing images, we propose an automatic building damage assessment framework for rainfall-or earthquake-induced landslide disasters.  ...  Acknowledgments This research was primarily supported by the National Natural Science Foundation of China  ... 
doi:10.1117/1.jrs.10.025027 fatcat:qelow3lu75glphm7s2rmjptdgq

Classification of Building Damage Triggered by Earthquakes Using Decision Tree

Shaodan Li, Hong Tang
2020 Mathematical Problems in Engineering  
In this paper, we present a decision-tree-based approach to classify the type of building damage by using multiple-source remote sensing from both pre- and postearthquakes.  ...  Two experimental areas from Wenchuan and Ya'an earthquakes are used to verify the proposed method.  ...  Hanwang town, also located in Sichuan province, experienced the Wenchuan earthquake with magnitude of 8.0 on 12 May 2008. e maximum intensity of the Wenchuan earthquake is XI degrees, and the earthquake  ... 
doi:10.1155/2020/2930515 fatcat:x6dic47cqncexj6guq6i7hlvem

Damage and geological assessment of the 18 September 2011 Mw 6.9 earthquake in Sikkim, India using very high resolution satellite data

Tapas R. Martha, K. Babu Govindharaj, K. Vinod Kumar
2015 Geoscience Frontiers  
Using visual change analysis technique through comparison of pre-and post-earthquake images, we assessed the damage caused by the event.  ...  Since the earthquake-affected area is located in mostly inaccessible Himalayan terrain, VHR data from these satellites provided a unique opportunity for quick and synoptic assessment of the damage.  ...  We thank ICSMD for providing VHR satellite data for assessment of the earthquake-affected area. The support by Dr. V.K. Dadhwal, Director, NRSC and G.  ... 
doi:10.1016/j.gsf.2013.12.011 fatcat:yy7jx4oglneqbeoyqg4kqcjjvy

Earthquake Damage Assessment of Buildings Using VHR Optical and SAR Imagery

Dominik Brunner, Guido Lemoine, Lorenzo Bruzzone
2010 IEEE Transactions on Geoscience and Remote Sensing  
Index Terms-Damage assessment, damage detection, data fusion, multisensor change detection, natural disaster, remote sensing, synthetic aperture radar (SAR), urban areas, very high spatial resolution (  ...  We demonstrate the feasibility and the effectiveness of the method for a subset of the town of Yingxiu, China, which was heavily damaged in the Sichuan earthquake of May 12, 2008.  ...  Furthermore, the authors would also like to thank the anonymous reviewers whose comments helped to improve the manuscript.  ... 
doi:10.1109/tgrs.2009.2038274 fatcat:546oxz4aknbvvnsu6lg45kqhce

Earthquake-Induced Building Damage Detection with Post-Event Sub-Meter VHR TerraSAR-X Staring Spotlight Imagery

Lixia Gong, Chao Wang, Fan Wu, Jingfa Zhang, Hong Zhang, Qiang Li
2016 Remote Sensing  
Compared with optical sensors, Synthetic Aperture Radar (SAR) can provide important damage information due to its ability to map areas affected by earthquakes independently from weather conditions and  ...  This data source made it possible to extract detailed information from individual buildings.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs8110887 fatcat:52hs74rke5gb7huo7sde2wad2y


S. Li, H. Tang
2018 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
By analyzing the post-earthquake UAV images of the two earthquakes, the building damage was classified into four levels, and the quantitative statistics of the damaged buildings is given in the experiments  ...  In order to verify the approach, we conduct experimental simulations in the cases of Wenchuan and Ya'an earthquakes.  ...  ACKNOWLEDGEMENTS This work was partly supported by National key R&D program of China (No. 2017YFB0504104) and the Doctoral Foundation of Hebei Normal University (No. L2018B19).  ... 
doi:10.5194/isprs-archives-xlii-3-929-2018 fatcat:4ubc6d2fdnh7ljuzmu2old62ii

Dynamic Post-Earthquake Image Segmentation with an Adaptive Spectral-Spatial Descriptor

Genyun Sun, Yanling Hao, Xiaolin Chen, Jinchang Ren, Aizhu Zhang, Binghu Huang, Yuanzhi Zhang, Xiuping Jia
2017 Remote Sensing  
The experiments were conducted on six VHR subarea images captured by RGB sensors mounted on aerial platforms, which were acquired after the 2008 Wenchuan Ms 8.0 earthquake.  ...  The region merging algorithm is a widely used segmentation technique for very high resolution (VHR) remote sensing images.  ...  Ms 8.0 earthquake on 15 May 2008, Wenchuan County, China.  ... 
doi:10.3390/rs9090899 fatcat:fku4k3phkrgsfap5drmjtiijcy

Combined multiscale segmentation convolutional neural network for rapid damage mapping from postearthquake very high-resolution images

Hui Huang, Genyun Sun, Xuming Zhang, Yanling Hao, Aizhu Zhang, Jinchang Ren, Hongzhang Ma
2019 Journal of Applied Remote Sensing  
remote sensing images.  ...  Classifying land use from postearthquake very high-resolution (VHR) images is challenging due to the complexity of objects in Earth surface after an earthquake.  ...  Acknowledgments This work was supported by the National Natural Science Foundation of China (41801275 and 41471353), the Shandong Provincial Natural Science Foundation, China (ZR2018BD007), the Fundamental  ... 
doi:10.1117/1.jrs.13.022007 fatcat:ijrtwf4v4vesrgc6elspdebpi4

Discrimination of Earthquake-Induced Building Destruction from Space Using a Pretrained CNN Model

Min Ji, Lanfa Liu, Rongchun Zhang, Manfred F. Buchroithner
2020 Applied Sciences  
People are exposed to earthquakes, and damaged buildings caused by earthquakes are one of the main threats.  ...  In this paper, the pretrained Visual Geometry Group (VGG)Net model was applied for identifying collapsed buildings induced by the 2010 Haiti earthquake using pre- and post-event remotely sensed space imagery  ...  Acknowledgements When I look back to the past four years, I would say that it is a big challenge with quite some uncertainty to be a PhD candidate.  ... 
doi:10.3390/app10020602 fatcat:mysjwv5eqzfrfjxsc5wcuywvzm

Real-Time Ground-Level Building Damage Detection Based on Lightweight and Accurate YOLOv5 Using Terrestrial Images

Chaoxian Liu, Haigang Sui, Jianxun Wang, Zixuan Ni, Liang Ge
2022 Remote Sensing  
Real-time building damage detection effectively improves the timeliness of post-earthquake assessments.  ...  by about 64% and 24%, respectively.  ...  Acknowledgments: The authors would like to thank Chengdu University of Technology, and Hanwang and Beichuan Country Earthquake Sites for data support.  ... 
doi:10.3390/rs14122763 fatcat:ujvv7rlldjal7ad33kftlw43su

Detection of Urban Damage Using Remote Sensing and Machine Learning Algorithms: Revisiting the 2010 Haiti Earthquake

Austin Cooner, Yang Shao, James Campbell
2016 Remote Sensing  
Remote sensing continues to be an invaluable tool in earthquake damage assessments and emergency response.  ...  This study evaluates the effectiveness of multilayer feedforward neural networks, radial basis neural networks, and Random Forests in detecting earthquake damage caused by the 2010 Port-au-Prince, Haiti  ...  Acknowledgments: The authors would like to thank Stephen Prisley for his supporting comments and direction in the study.  ... 
doi:10.3390/rs8100868 fatcat:c3houqm2frebtbr5epv67l7ika

Elementary Analysis of the Mechanism of Xishan Landslide Based on Pixel Tracking on VHR Images

Beiqi Shi, Chun Liu, Hangbin Wu, Ping Lu
2016 International journal of geohazards and environment  
Recent developments in remote sensing techniques provide powerful tools for landslide deformation studies.  ...  These were Very High Resolution (VHR) satellite imageries and were orthorectified with a high resolution DEM interpolated from Unmanned Aerial Vehicle (UAV).  ...  In 2008, the Wenchuan earthquake severely damaged and even collapsed residential buildings. Continued deformation with expanded cracks around Xishan landslide was observed in a few buildings.  ... 
doi:10.15273/ijge.2016.02.007 fatcat:i7olcqs4gzg3hausu2cuudp3mi

Detection of Collapsed Buildings in Post-Earthquake Remote Sensing Images Based on the Improved YOLOv3

Ma, Liu, Ren, Yu
2019 Remote Sensing  
An important and effective method for the preliminary mitigation and relief of an earthquake is the rapid estimation of building damage via high spatial resolution remote sensing technology.  ...  Experiments performed using the improved YOLOv3 model, with high spatial resolution aerial remote sensing images at resolutions of 0.5 m after the Yushu and Wenchuan earthquakes, show a significant reduction  ...  Acknowledgments: The authors would like to thank the anonymous reviewers for their very competent comments and helpful suggestions.  ... 
doi:10.3390/rs12010044 fatcat:ygfastdolfewlloab5p252qlsq
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