BiasUNet: Learning Change Detection over Sentinel-2 Image Pairs

Author:

Pegia Maria Eirini1,Moumtzidou Anastasia1,Gialampoukidis Ilias1,Jónsson Björn Þór2,Vrochidis Stefanos1,Kompatsiaris Ioannis1

Affiliation:

1. Information Technologies Institute Centre of Research & Technology - Hellas (CERTH), Greece

2. Reykjavik University, Iceland

Funder

European Commission

Publisher

ACM

Reference25 articles.

1. Unsupervised Deep Slow Feature Analysis for Change Detection in Multi-Temporal Remote Sensing Images;Du B.;IEEE Transactions on Geoscience and Remote Sensing,2019

2. Le Saux B. and Randrianarivo H . 2013. Urban change detection in SAR images by interactive learning . IEEE International Geoscience and Remote Sensing Symposium (Feb. 2013 ), 3990–3993. https://doi.org/10.1109/IGARSS. 2013 .6723707 Le Saux B. and Randrianarivo H.2013. Urban change detection in SAR images by interactive learning. IEEE International Geoscience and Remote Sensing Symposium (Feb. 2013), 3990–3993. https://doi.org/10.1109/IGARSS.2013.6723707

3. Bayesian U-Net: Estimating Uncertainty in Semantic Segmentation of Earth Observation Images;Dechesne C.;Remote Sensing,2021

4. A contrario comparison of local descriptors for change detection in very high spatial resolution satellite images of urban areas;Liu G.;IEEE Transactions on Geoscience and Remote Sensing,2019

5. A deep convolutional coupling network for change detection based on heterogeneous optical and radar images;Liu J.;IEEE Transactions on Neural Networks and Learning Systems,2015

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