| Detecting urban changes with recurrent neural networks from multitemporal Sentinel-2 data M Papadomanolaki, S Verma, M Vakalopoulou, S Gupta, K Karantzalos IGARSS 2019-2019 IEEE international geoscience and remote sensing symposium …, 2019 | 139 | 2019 |
| A deep multitask learning framework coupling semantic segmentation and fully convolutional LSTM networks for urban change detection M Papadomanolaki, M Vakalopoulou, K Karantzalos IEEE Transactions on Geoscience and Remote Sensing 59 (9), 7651-7668, 2021 | 85 | 2021 |
| Benchmarking deep learning frameworks for the classification of very high resolution satellite multispectral data M Papadomanolaki, M Vakalopoulou, S Zagoruyko, K Karantzalos ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2016 | 72 | 2016 |
| A novel object-based deep learning framework for semantic segmentation of very high-resolution remote sensing data: Comparison with convolutional and fully convolutional networks M Papadomanolaki, M Vakalopoulou, K Karantzalos Remote Sensing 11 (6), 684, 2019 | 55 | 2019 |
| Unsupervised multistep deformable registration of remote sensing imagery based on deep learning M Papadomanolaki, S Christodoulidis, K Karantzalos, M Vakalopoulou Remote Sensing 13 (7), 1294, 2021 | 20 | 2021 |
| Simultaneous registration, segmentation and change detection from multisensor, multitemporal satellite image pairs M Vakalopoulou, C Platias, M Papadomanolaki, N Paragios, ... 2016 IEEE international geoscience and remote sensing symposium (IGARSS …, 2016 | 16 | 2016 |
| A multi-task deep learning framework coupling semantic segmentation and image reconstruction for very high resolution imagery M Papadomanolaki, K Karantzalos, M Vakalopoulou IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 8 | 2019 |
| Patch-based deep learning architectures for sparse annotated very high resolution datasets M Papadomanolaki, M Vakalopoulou, K Karantzalos 2017 Joint Urban Remote Sensing Event (JURSE), 1-4, 2017 | 8 | 2017 |
| Urban change detection based on semantic segmentation and fully convolutional LSTM networks M Papadomanolaki, M Vakalopoulou, K Karantzalos ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2020 | 5 | 2020 |
| Stacked encoder-decoders for accurate semantic segmentation of very high resolution satellite datasets M Papadomanolaki, M Vakalopoulou, N Paragios, K Karantzalos IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 4 | 2018 |
| Deep Learning based Multistep Registration Focusing on Regions of Change M Papadomanolaki, M Vakalopoulau, K Karantzalos IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 | 1 | 2022 |
| Registration, semantic segmentation and change detection with deep learning in urban environments M Papadomanolaki Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ). Σχολή Αγρονόμων και Τοπογράφων Μηχανικών …, 2022 | | 2022 |
