aqua3S – Multimodal Data Fusion and Analytics Group

Detection of Complex Formations in an Inland Lake from Sentinel-2 Images Using Atmospheric Corrections and a Fully Connected Deep Neural Network

D. F. Mantsis, A. Moumtzidou, I. Lioumbas, I. Gialampoukidis, A. Christodoulou, A. Mentes, S. Vrochidis, I. Kompatsiaris, "Detection of Complex Formations in an Inland Lake from Sentinel-2 Images Using Atmospheric Corrections and a Fully Connected Deep Neural Network.", Remote Sensing, vol. 16, no. 20, 2024. https://doi.org/10.3390/rs16203913

Detection of oil spills in an inland lake using Multi-Spectral Satellite Images

D. F. Mantsis, M. Bakratsas, K. Vlachos, A. Moumtzidou, I. Gialampoukidis, S. Vrochidis, I. Kompatsiaris, "Detection of oil spills in an inland lake using Multi-Spectral Satellite Images.", in Proceedings of the 2022 Living Planet Symposium, Bonn, Germany, 23-27 May 2022.

A tempοral Deep Convolutional Neural Network model on Sentinel-1 Image Time Series for pixel-wise Flood Classification

K. Vlachos, A. Moumtzidou, I. Gialampoukidis, S. Vrochidis, I. Kompatsiaris, "A tempοral Deep Convolutional Neural Network model on Sentinel-1 Image Time Series for pixel-wise Flood Classification.", in Proceedings of the 2022 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2022), Kuala Lumpur, Malaysia, 17-22 July 2022.

Water quality issues: Can we detect a creeping crisis with social media data?

S. Andreadis, N. Pantelidis, I. Gialampoukidis, S. Vrochidis, I. Kompatsiaris, "Water quality issues: Can we detect a creeping crisis with social media data?", in Proceedings of the 27th IEEE Symposium on Computers and Communications (IEEE ISCC 2022), Rhodes, Greece, 30 June - 3 July, 2022.

Flood Hazard and Risk Mapping by Applying an Explainable Machine Learning Framework Using Satellite Imagery and GIS Data

G. Antzoulatos, I. Kouloglou, M. Bakratsas, A. Moumtzidou, I. Gialampoukidis, A. Karakostas, F. Lombardo, R. Fiorin, D. Norbiato, M. Ferri, A. Symeonidis, S. Vrochidis, I. Kompatsiaris, "Flood Hazard and Risk Mapping by Applying an Explainable Machine Learning Framework Using Satellite Imagery and GIS Data.", Sustainability, vol. 14, no. 6, 2022. DOI:10.3390/su14063251

WaterMM:Water Quality in Social Multimedia Task at MediaEval 2021

S. Andreadis, I. Gialampoukidis, A. Bozas, A. Moumtzidou, R. Fiorin, F. Lombardo, A. Karakostas, D. Norbiato, S. Vrochidis, M. Ferri, I. Kompatsiaris, "WaterMM: Water Quality in Social Multimedia Task at MediaEval 2021.",in Proceedings of the MediaEval 2021 Workshop (MediaEval'21), 12-15 December 2021.

A social media analytics platform visualising the spread of COVID-19 in Italy via exploitation of automatically geotagged tweets

S. Andreadis, G. Antzoulatos, T. Mavropoulos, P. Giannakeris, G. Tzionis, N. Pantelidis, K. Ioannidis, A. Karakostas, I. Gialampoukidis, S. Vrochidis, I. Kompatsiaris, "A social media analytics platform visualising the spread of COVID-19 in Italy via exploitation of automatically geotagged tweets.", Online Social Networks and Media, vol. 23, 2021.

OntoAqua: Ontology-based Modelling of Context in Water Safety and Security

Α. M. Koufakis, S. Tzanakis, A. Moumtzidou, G. Meditskos, A. Karakostas, S. Vrochidis, I. Kompatsiaris, "OntoAqua: Ontology-based Modelling of Context in Water Safety and Security.", in Proceedings of the 13th International Conference on Knowledge Engineering and Ontology Development-KEOD 2021, Valletta, Malta, 25-27 October, 2021.

ITI-CERTH participation in TRECVID 2020

K. Gkountakos, D. Galanopoulos, M. Mpakratsas, D. Touska, A. Moumtzidou, K. Ioannidis, I. Gialampoukidis, S. Vrochidis, V. Mezaris, I. Kompatsiaris, "ITI-CERTH participation in TRECVID 2020.", in Proceedings of the TRECVID 2020 Workshop, Gaithersburg, MD, USA, December 2020.

Towards to integrate a multi-layer Machine Learning Data Fusion approach into Crisis Classification and Risk Assessment of extreme natural events

G. Antzoulatos, I. Koulalis, A. Karakostas, S. Vrochidis, I. Kompatsiaris, "Towards integrating a multi-layer Machine Learning Data Fusion approach into Crisis Classification and Risk Assessment of extreme natural events", in Technology Development for Security Practitioners, B. Akhgar, D. Kavallieros, and E. Sdongos, Eds., Springer, Security Informatics and Law Enforcement Series, 2021.

Flood detection with Sentinel-2 satellite images in crisis management systems

A. Moumtzidou, M. Bakratsas, S. Andreadis, A. Karakostas, I. Gialampoukidis, S. Vrochidis, I. Kompatsiaris, "Flood detection with Sentinel-2 satellite images in crisis management systems.", in Proceedings of the 17th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2020), Blacksburg, Virginia, USA, 24-27 May 2020.

Sentinel 1 and DEM Data Fusion with Neural Network Classification in Water Body Detection

M. Bakratsas, A. Moumtzidou, I. Gialampoukidis, S. Vrochidis, I. Kompatsiaris, "Sentinel 1 and DEM Data Fusion with Neural Network Classification in Water Body Detection.", in Proceedings of the EO FOR WATER CYCLE SCIENCE (EO4WATER 2020), Online Event, 16 -19 November 2020.

A multimodal tensor-based late fusion approach for satellite image search in Sentinel 2 images

I. Gialampoukidis , A. Moumtzidou, M. Bakratsas , S. Vrochidis, I. Kompatsiaris, "A multimodal tensor-based late fusion approach for satellite image search in Sentinel 2 images.",in Proceedings of the 27th International Conference on Multimedia Modeling, (MMM 2021), Prague, Czech Republic, 22-24 June, 2021. DOI: 10.1007/978-3-030-67832-6