From Satellite Imagery to Disaster Insights

The truth of the F-measure

Sasaki, Yutaka, et al · 2007

Earlier work this paper cites.

Satellite image analysis for disaster and crisis-management support

Voigt, Stefan, Kemper, Thomas, Riedlinger, Torsten, Kiefl, Ralph, Scholte, Klaas, & Mehl, Harald. 2007 · 2007

Earlier work this paper cites.

Delving deep into rectifiers: Surpassing human-level performance on imagenet classification

He, Kaiming, Zhang, Xiangyu, Ren, Shaoqing, & Sun, Jian. 2015 · 2015

Earlier work this paper cites.

Batch normalization: Accelerating deep network training by reducing internal covariate shift

Original

Ioffe, Sergey, & Szegedy, Christian. 2015 · 2015

Earlier work this paper cites.

Optimizing intersection-over-union in deep neural networks for image segmentation

Rahman, Md Atiqur, & Wang, Yang. 2016 · 2016

Earlier work this paper cites.

Global trends in satellite-based emergency mapping

Original

Voigt, Stefan, Giulio-Tonolo, Fabio, Lyons, Josh, Kučera, Jan, Jones, Brenda, Schneiderhan, Tobias, Platzeck, Gabriel, Kaku, Kazuya, Hazarika, Manzul Kumar, Czaran, Lorant, et al · 2016

Earlier work this paper cites.

Hurricane Harvey Planet Imagery

2018a · 2017

Cited alongside, same era.

Disaster detection from aerial imagery with convolutional neural network

Amit, Siti Nor Khuzaimah Binti, & Aoki, Yoshimitsu. 2017 · 2017

Cited alongside, same era.

Damage detection from aerial images via convolutional neural networks

Fujita, Aito, Sakurada, Ken, Imaizumi, Tomoyuki, Ito, Riho, Hikosaka, Shuhei, & Nakamura, Ryosuke. 2017 · 2017

Cited alongside, same era.

California Department of Forestry and Fire Protection’s Fire and Resource Assessment Program (FRAP)

2018 · 2018

Cited alongside, same era.

DigitalGlobe Basemap +Vivid

2018 · 2018

Cited alongside, same era.

Santa Rosa Fire Digital Globe Imagery

2018 · 2018

Cited alongside, same era.

SpaceNet on Amazon Web Services (AWS). “Datasets.” The SpaceNet Catalog

2018 · 2018

Closest in time.

Deep Learning Based Damage Detection on Post-Hurricane Satellite Imagery

Original

Cao, Quoc Dung, & Choe, Youngjun. 2018 · 2018

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Deepglobe 2018: A challenge to parse the earth through satellite images

Demir, Ilke, Koperski, Krzysztof, Lindenbaum, David, Pang, Guan, Huang, Jing, Basu, Saikat, Hughes, Forest, Tuia, Devis, & Raskar, Ramesh. 2018 · 2018

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Residual Inception Skip Network for Binary Segmentation

Doshi, Jigar. 2018 · 2018

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Satellite Image Classification of building damages using airborne and satellite image samples in a deep learning approach

Duarte, D, Nex, F, Kerle, N, & Vosselman, G. 2018 · 2018

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