Maria Papadomanolaki
Orcid: 0000-0003-2125-9524
According to our database1,
Maria Papadomanolaki
authored at least 9 papers
between 2016 and 2022.
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Bibliography
2022
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
2021
A Deep Multitask Learning Framework Coupling Semantic Segmentation and Fully Convolutional LSTM Networks for Urban Change Detection.
IEEE Trans. Geosci. Remote. Sens., 2021
Unsupervised Multistep Deformable Registration of Remote Sensing Imagery Based on Deep Learning.
Remote. Sens., 2021
2019
A Novel Object-Based Deep Learning Framework for Semantic Segmentation of Very High-Resolution Remote Sensing Data: Comparison with Convolutional and Fully Convolutional Networks.
Remote. Sens., 2019
Detecting Urban Changes with Recurrent Neural Networks from Multitemporal Sentinel-2 Data.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
A Multi-Task Deep Learning Framework Coupling Semantic Segmentation and Image Reconstruction for Very High Resolution Imagery.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
2018
Stacked Encoder-Decoders for Accurate Semantic Segmentation of Very High Resolution Satellite Datasets.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
2017
Patch-based deep learning architectures for sparse annotated very high resolution datasets.
Proceedings of the Joint Urban Remote Sensing Event, 2017
2016
Simultaneous registration, segmentation and change detection from multisensor, multitemporal satellite image pairs.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016