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Analyzing the planet at scale with satellite imagery and machine learning is a dream that has been constantly hindered by the cost of difficult-to-access highly-representative high-resolution imagery.
A Meteosat Second Generation receiving, processing and storing images system developed by engineer students
L. Beaudoin, L.-A. Charbardes, J. Cornebise, C. Dufour, K. Florczak, F. Gachot, and P. Schott · 2005
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Land Cover Classification System: Classification Concepts and User Manual: LCCS , volume 2
A. Di Gregorio · 2005
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Optimum Experimental Designs, with SAS , volume 34
A. Atkinson, A. Donev, and R. Tobias · 2007
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Learning to Detect Roads in High-Resolution Aerial Images
V. Mnih and G. E. Hinton · 2010
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Sentinel-2: ESA’s optical high-resolution mission for GMES operational services
M. Drusch, U. Del Bello, S. Carlier, O. Colin, V. Fernandez, F. Gascon, B. Hoersch, C. Isola, P. Laberinti, P. Martimort, et al · 2012
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Local climate zones for urban temperature studies
I. D. Stewart and T. R. Oke · 2012
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SPOT Imagery User Guide
Airbus · 2013
Earlier work this paper cites.
Land Cover CCI Product User Guide Version 2.4
ESA · 2014
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Image super-resolution using deep convolutional networks
C. Dong, C. C. Loy, K. He, and X. Tang · 2015
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Sentinel-2 user handbook, 2015
ESA · 2015
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Combining satellite imagery and machine learning to predict poverty
N. Jean, M. Burke, M. Xie, W. M. Davis, D. B. Lobell, and S. Ermon · 2016
Earlier work this paper cites.
Land Cover CCI Product User Guide Version 2.0
ESA · 2017
Cited alongside, same era.
SGDR: Stochastic Gradient Descent with Warm Restarts, May 2017
I. Loshchilov and F. Hutter · 2017
Cited alongside, same era.
Witnessing atrocities: Quantifying villages destruction in Darfur with crowdsourcing and transfer learning
J. Cornebise, D. Worrall, M. Farfour, and M. Marin · 2018
Cited alongside, same era.
GHSL Data Package 2019: Public Release GHS P2019
A. Florczyk, C. Corbane, D. Ehrlich, S. Freire, T. Kemper, L. Maffenini, M. Melchiorri, M. Pesaresi, P. Politis, M. Schiavina, F. Sabo, L. Zanchetta, European Commission, and Joint Research Centre · 2019
Cited alongside, same era.
Tile2vec: Unsupervised representation learning for spatially distributed data
N. Jean, S. Wang, A. Samar, G. Azzari, D. Lobell, and S. Ermon · 2019
Cited alongside, same era.
Super-Resolution of PROBA-V Images Using Convolutional Neural Networks
Deep burst super-resolution
G. Bhat, M. Danelljan, L. V. Gool, and R. Timofte · 2021
Later among the works it cites.
LCZ Generator: A Web Application to Create Local Climate Zone Maps
M. Demuzere, J. Kittner, and B. Bechtel · 2021
Later among the works it cites.
Datasheets for datasets
T. Gebru, J. Morgenstern, B. Vecchione, J. W. Vaughan, H. Wallach, H. D. Iii, and K. Crawford · 2021
Later among the works it cites.
Multi-Spectral Multi-Image Super-Resolution of Sentinel-2 with Radiometric Consistency Losses and Its Effect on Building Delineation, Nov. 2021
M. Razzak, G. Mateo-Garcia, L. Gómez-Chova, Y. Gal, and F. Kalaitzis · 2021
Later among the works it cites.
UNHCR People of Concern Dataset - Refugees Operational Data Portal / Web Services, 2021
UNHCR · 2021
Later among the works it cites.
Permutation invariance and uncertainty in multitemporal image super-resolution
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M. Märtens, D. Izzo, A. Krzic, and D. Cox · 2019
Cited alongside, same era.
GHS settlement grid, updated and refined regio model 2014 in application to ghs-built r2018a and ghs-pop r2019a, multitemporal (1975-1990-2000-2015) r2019a
M. Pesaresi, A. Florczyk, M. Schiavina, M. Melchiorri, and L. Maffenini · 2019
Cited alongside, same era.
Improving reproducibility in machine learning research: A report from the NeurIPS 2019 reproducibility program
J. Pineau, P. Vincent-Lamarre, K. Sinha, V. Larivière, A. Beygelzimer, F. d’Alché-Buc, E. Fox, and H. Larochelle · 2019
Cited alongside, same era.
HighRes-net: Recursive Fusion for Multi-Frame Super-Resolution of Satellite Imagery
M. Deudon, A. Kalaitzis, I. Goytom, M. R. Arefin, Z. Lin, K. Sankaran, V. Michalski, S. E. Kahou, J. Cornebise, and Y. Bengio · 2020
Cited alongside, same era.
Deepsum++: Non-local deep neural network for super-resolution of unregistered multitemporal images
A. B. Molini, D. Valsesia, G. Fracastoro, and E. Magli · 2020
Cited alongside, same era.
Multi-image super resolution of remotely sensed images using residual attention deep neural networks
F. Salvetti, V. Mazzia, A. Khaliq, and M. Chiaberge · 2020
Cited alongside, same era.
The machine learning reproducibility checklist v2.0
J. Pineau, P. Vincent-Lamarre, K. Sinha, V. Larivière, A. Beygelzimer, F. d’Alché-Buc, E. Fox, and H. Larochelle
Cited in the paper.
D. Valsesia and E. Magli · 2021
Later among the works it cites.
Satellite-Based Human Settlement Datasets Inadequately Detect Refugee Settlements: A Critical Assessment of Area, Accuracy, and Agreement at Thirty Refugee Settlements in Uganda
J. van Den Hoek and H. K. Friedrich · 2021
Later among the works it cites.
The WorldStrat Dataset: Open High-Resolution Satellite Imagery With Paired Multi-Temporal Low- Resolution
J. Cornebise, I. Oršolić, and F. Kalaitzis · 2022
Closest in time.
SEN2VENµS, a Dataset for the Training of Sentinel-2 Super-Resolution Algorithms
J. Michel, J. Vinasco-Salinas, J. Inglada, and O. Hagolle · 2022
Closest in time.
Spacenet: A remote sensing dataset and challenge series
A. Van Etten, D. Lindenbaum, and T. M. Bacastow · 2022
Closest in time.