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In all types of disasters, from earthquakes to armed conflicts, aid workers need accurate and timely data such as damage to buildings and population displacement to mount an effective response.
The use of the area under the roc curve in the evaluation of machine learning algorithms
Andrew P. Bradley · 1997
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Computer Vision: Algorithms and Applications
Richard Szeliski · 2010
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Estimation of prediction error by using k-fold cross-validation
Tadayoshi Fushiki · 2011
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Remote sensing and earthquake damage assessment: Experiences, limits, and perspectives
F. Dell’Acqua and P. Gamba · 2012
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Faster R-CNN: towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross B. Girshick, and Jian Sun · 2015
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Detection of urban damage using remote sensing and machine learning algorithms: Revisiting the 2010 haiti earthquake
A.J. Cooner, Y. Shao, and J.B. Campbell · 2016
Cited alongside, same era.
Deep Learning
Ian Goodfellow, Yoshua Bengio, and Aaron Courville · 2016
Cited alongside, same era.
Google earth engine: Planetary-scale geospatial analysis for everyone
Noel Gorelick, Matt Hancher, Mike Dixon, Simon Ilyushchenko, David Thau, and Rebecca Moore · 2017
Cited alongside, same era.
Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E. Hinton · 2017
Cited alongside, same era.
Satellite Image Classification Of Building Damages Using Airborne And Satellite Image Samples In A Deep Learning Approach
D. Duarte, F.C. Nex, N. Kerle, and G. Vosselman · 2018
Later among the works it cites.
Identifying collapsed buildings using post-earthquake satellite imagery and convolutional neural networks: A case study of the 2010 haiti earthquake
Min Ji, Lanfa Liu, and Manfred Buchroithner · 2018
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https://data.humdata.org
Humanitarian data exchange · 2019
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Creating xbd: A dataset for assessing building damage from satellite imagery
Ritwik Gupta, Bryce Goodman, Nirav Patel, Ricky Hosfelt, Sandra Sajeev, Eric Heim, Jigar Doshi, Keane Lucas, Howie Choset, and Matthew Gaston · 2019
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