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In this paper, we introduce RaVAEn, a lightweight, unsupervised approach for change detection in satellite data based on Variational Auto-Encoders (VAEs) with the specific purpose of on-board deployment.
Unsupervised change detection in satellite images using principal component analysis and k k -means clustering
Turgay Celik · 2009
Earlier work this paper cites.
Resolution selective change detection in satellite images
Turgay Çelik and Chandra V. Curtis · 2010
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Auto-encoding variational bayes, 2013
Diederik P Kingma and Max Welling · 2013
Earlier work this paper cites.
Frft-based improved algorithm of unsupervised change detection in SAR images via PCA and k-means clustering
Yongqiang Cheng, Heng-Chao Li, Turgay Çelik, and Fan Zhang · 2013
Earlier work this paper cites.
Fully convolutional siamese networks for change detection
Rodrigo Caye Daudt, Bertr Le Saux, and Alexandre Boulch · 2018
Earlier work this paper cites.
Unsupervised change detection in satellite images using convolutional neural networks
Kevin Louis de Jong and Anna Sergeevna Bosman · 2019
Cited alongside, same era.
CloudScout: A Deep Neural Network for On-Board Cloud Detection on Hyperspectral Images
Gianluca Giuffrida, Lorenzo Diana, Francesco de Gioia, Gionata Benelli, Gabriele Meoni, Massimiliano Donati, and Luca Fanucci · 2020
Cited alongside, same era.
Unsupervised distribution learning for lunar surface technosignature detection
Daniel Angerhausen, Valentin Tertius Bickel, and Lesnikowski Adam · 2020
Cited alongside, same era.
Modified autoencoder training and scoring for robust unsupervised anomaly detection in deep learning
Nicholas Merrill and Azim Eskandarian · 2020
Cited alongside, same era.
Deep active learning in remote sensing for data efficient change detection
Vít Růžička, Stefano D’Aronco, Jan D Wegner, and Konrad Schindler · 2020
Later among the works it cites.
Cnn-generated images are surprisingly easy to spot… for now
Sheng-Yu Wang, Oliver Wang, Richard Zhang, Andrew Owens, and Alexei A Efros · 2020
Later among the works it cites.
Deconvolution and checkerboard artifacts
Augustus Odena, Vincent Dumoulin, and Chris Olah · 2021
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Towards global flood mapping onboard low cost satellites with machine learning
Gonzalo Mateo-Garcia, Joshua Veitch-Michaelis, Lewis Smith, Silviu Vlad Oprea, Guy Schumann, Yarin Gal, Atılım Güneş Baydin, and Dietmar Backes · 2045
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