EOPEN – Multimodal Data Fusion and Analytics Group

Earthquakes: from Twitter detection to EO data processing

S. Andreadis, I. Gialampoukidis, A. Manconi, D. Cordeiro, V. Conde, M. Sagona, F. Brito, N. Pantelidis, T. Mavropoulos, N. Grosso, S. Vrochidis and I. Kompatsiaris, "Earthquakes: from Twitter detection to EO data processing", IEEE Geoscience and Remote Sensing Letters, Volume 19, 14 February 2022, DOI: 10.1109/LGRS.2022.3149541

Parallel DBSCAN-Martingale estimation of the number of concepts for automatic satellite image clustering

I. Gialampoukidis, S. Andreadis, N. Pantelidis, S. Hayat, L. Zhong, M. Bakratsas, D. Hoppe, S. Vrochidis, and I. Kompatsiaris, "Parallel DBSCAN-Martingale estimation of the number of concepts for automatic satellite image clustering", In Proceedings of the 28th International Conference on Multimedia Modelling (MMM2022), Phu Quoc, Vietnam, 6-10 June, 2022.

Multimodal data fusion of social media and satellite images for emergency response and decision-making

I. Gialampoukidis, S. Andreadis, S. Vrochidis, and I. Kompatsiaris, "Multimodal data fusion of social media and satellite images for emergency response and decision-making", 2021 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2021), 11 July 2021, Online, pp. 228-231, IEEE.

Earthquakes: from Twitter detection to EO data processing

S. Andreadis, I. Gialampoukidis, A. Manconi, D. Cordeiro, V. Conde, M. Sagona, F. Brito, N. Pantelidis, T. Mavropoulos, N. Grosso, S. Vrochidis and I. Kompatsiaris, "Earthquakes: from Twitter detection to EO data processing", In the proceedings of the 5th International Conference on Dynamics of Disasters (DOD 2021), Virtual, 15-18 July 2021.

Oil Spill Identification from Satellite Images Using Deep Neural Networks

M. Krestenitis, G. Orfanidis, K. Ioannidis, K. Avgerinakis, S. Vrochidis and I. Kompatsiaris. "Oil Spill Identification from Satellite Images Using Deep Neural Networks". Remote Sensing, 11(15), 1762, 26 July 2019.

The H2020-EO EOPEN project

G. Vingione, L. Marzell, E. Cadau., I. Gialampoukidis, S. Vrochidis, I. Kompatsiaris, B. Valentin, M. Melcott, L. Gale, W.-K. Lee, S. Woo, M. Gienger, D. Hoppe, C. Kontoes, I. Papoutsis, M. Ferri, F. Baruffi, J. Yoon, H. Yoon, A. Karppinen, A.-M. Harri, "The H2020-EO EOPEN project", ESA Conference on Big Data from Space 2017, 28-30 November 2017, Toulouse, France.

Testing a Flood Mask Correction Method Of Optical Satellite Imagery Over Irrigated Agricultural Areas

E. Michail, A. Moumtzidou, I. Gialampoukidis, K. Avgerinakis, M. G. Scarpino, S. Vrochidis, G. Vingione, I. Kompatsiaris, K. Labbassi, M. Menenti, F.-E. Elghandour, "Testing a Flood Mask Correction Method Of Optical Satellite Imagery Over Irrigated Agricultural Areas", in 2nd Mapping Water Bodies from Space Conference (MWBS2018), 27-28 March 2018, ESA-ESRIN Frascati, Italy.

Flood relevance estimation from visual and textual content in social media streams

A. Moumtzidou, S. Andreadis, I. Gialampoukidis, A. Karakostas, S. Vrochidis and I. Kompatsiaris, "Flood relevance estimation from visual and textual content in social media streams", in WWW 2018 Workshop on Exploitation of Social Media for Emergency Relief and Preparedness (SMERP), 23 April 2018, Lyon, France.

People and vehicles in danger – A fire and flood detection system in social media

P. Giannakeris, K. Avgerinakis, A. Karakostas, S. Vrochidis and I. Kompatsiaris, "People and vehicles in danger - A fire and flood detection system in social media", in 13th Workshop on IEEE Image, Video, and Multidimensional Signal Processing (IVMSP 2018), 10-12 June 2018, Zagori, Greece.

A deep neural network for oil spill semantic segmentation in SAR images

G. Orfanidis, K. Ioannidis, K. Avgerinakis, S. Vrochidis and I. Kompatsiaris, "A deep neural network for oil spill semantic segmentation in SAR images", in IEEE Int. Conf. on Image Processing (ICIP 2018), Athens, Greece, October 2018.

Social Media Observations for Flood Event Monitoring in Italy over a One-Year Period

S. Andreadis, I. Gialampoukidis, R. Fiorin, F. Lombardo, D. Norbiato, A. Karakostas, M. Ferri, S. Vrochidis and I. Kompatsiaris, "Social Media Observations for Flood Event Monitoring in Italy over a One-Year Period", in 2nd International Conference Citizen Observatories for natural hazards and Water Management (COWM 2018), 27-30 November 2018, Venezia, Italy.

THE H2020-EO EOPEN PROJECT

G. Vingione, L. Marzell, E. Cadau., I. Gialampoukidis, S. Vrochidis, I. Kompatsiaris, B. Valentin, M. Melcott, L. Gale, W.-K. Lee, S. Woo, M. Gienger, D. Hoppe, C. Kontoes, I. Papoutsis, M. Ferri, F. Baruffi, J. Yoon, H. Yoon, A. Karppinen, A.-M. Harri, "THE H2020-EO EOPEN PROJECT", in INSPIRE Conference 2018, 18-21 September 2018, Antwerp, Belgium (poster presentation).

A Flood Monitoring Tool for Urban Areas Using Satellite, Weather and Social Data

S. Andreadis, A. Moumtzidou, I. Gialampoukidis, S. Vrochidis and I. Kompatsiaris, "A Flood Monitoring Tool for Urban Areas Using Satellite, Weather and Social Data", in US-Serbia & West Balkan Data Science Workshop 2018 - Big Data and Critical Infrastructures, 26-28 August 2018, Belgrade, Serbia. (poster presentation)

Oil spill identification from satellite images using deep neural networks

M.Krestenitis, G. Orfanidis, K.Ioannidis, K.Avgerinakis, S.Vrochidis, & I.Kompatsiaris,"Oil spill identification from satellite images using deep neural networks", Remote Sensing, 11(15), 1762, 26 July 2017.

Early Identification of Oil Spills in Satellite Images Using Deep CNNs

M. Krestenitis, G. Orfanidis, K. Ioannidis, K. Avgerinakis, S. Vrochidis and I. Kompatsiaris,"Early Identification of Oil Spills in Satellite Images Using Deep CNNs", In International Conference on Multimedia Modeling (pp. 424-435), Springer, Cham, January 2019.

EOPEN: Open interoperable platform for unified access and analysis of earth observation data

G. Vingione, G. Scarpino, L. Marzell, T. Pettengell, I. Gialampoukidis, S. Andreadis, S. Vrochidis, I. Kompatsiaris, B. Valentin, L. Gale, W.-K. Lee, W. Lee, M. Gienger, D. Hoppe, V. Sitokonstantinou, I. Papoutsis, C. Kontoes, F. Baruffi, M. Ferri, H. Yoon, A. Karppinen and A.-M. Harri, "EOPEN: Open interoperable platform for unified access and analysis of earth observation data", in Proc. of the 2019 conference on Big Data from Space (BiDS’19), pp. 1–4, Munich, Germany, 2019. https://data.europa.eu/doi/10.2760/848593

Road passability estimation using deep neural networks and satellite image patches

A. Moumtzidou, M. Bakratsas, S. Andreadis, I. Gialampoukidis, S. Vrochidis and I. Kompatsiaris,"Road passability estimation using deep neural networks and satellite image patches", in Proc. of the 2019 conference on Big Data from Space (BiDS’19), Munich, Germany, 2019, pp. 1–4.

A multimodal approach in estimating road passability through a flooded area using social media and satellite images

A. Moumtzidou, P. Giannakeris, S. Andreadis, A. Mavropoulos, G. Meditskos, I. Gialampoukidis, K. Avgerinakis, S. Vrochidis and I. Kompatsiaris, "A multimodal approach in estimating road passability through a flooded area using social media and satellite images", multimedia satellite task MediaEval 2018. In Proceedings of the Working Notes Proceeding MediaEval Workshop, Sophia Antipolis, France, 29-31 October, 2018.

H2020 EOPEN Easing Copernicus data & services exploitation

L. Gale, B. Valentin, G. Vingione, G. Scarpino, H. Boulahya, D. Hoppe, I. Gialampoukidis, S. Andreadis, S. Vrochidis, I. Kompatsiaris, L. Zhong, M. Ferri, D. Norbiato, F. Zaffanella, L. Marzell, T. Pettengell, A. Karppinen, J. Tyynela, P. Karsisto, H. Yoon, "H2020 EOPEN Easing Copernicus data & services exploitation", 40th Asian Conference on Remote Sensing (ACRS 2019), Daejeon, Korea, 2019.

A Deep Neural Network Slope Reduction Model on Sentinel-1 Images for Water Mask Extraction

M. Mpakratsas, A. Moumtzidou, I. Gialampoukidis, S. Vrochidis, I. Kompatsiaris, "A Deep Neural Network Slope Reduction Model on Sentinel-1 Images for Water Mask Extraction", 40th Asian Conference on Remote Sensing (ACRS 2019), Daejeon, Korea, 2019.

Multimedia Analysis Techniques for Flood Detection Using Images, Articles and Satellite Imagery

S. Andreadis, M. Bakratsas, P. Giannakeris, A. Moumtzidou, I. Gialampoukidis, S. Vrochidis, I. Kompatsiaris, "Multimedia Analysis Techniques for Flood Detection Using Images, Articles and Satellite Imagery", in Proceedings of the Working Notes Proceeding MediaEval Workshop, 27-29 October 2019, Sophia Antipolis, France.

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 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", EO FOR WATER CYCLE SCIENCE (EO4WATER 2020), Online Event, 16 -19 November 2020.

Multimodal Fusion of Sentinel-1 images and Social media Data for Snow Depth estimation

D. Mantsis, M. Bakratsas, S. Andreadis, P. Karsisto, A. Moumtzidou, I. Gialampoukidis, A. Karppinen, S. Vrochidis, and I. Kompatsiaris. “Multimodal Fusion of Sentinel-1 images and Social media Data for Snow Depth estimation”. IEEE Geoscience and Remote Sensing Letters, pp. 1-5, 30 October 2020.

Early and Late Fusion of Multiple Modalities in Sentinel Image Retrieval

W. Yao, A. Moumtzidou , C. O. Dumitru, S. Andreadis, I. Gialampoukidis, S. Vrochidis, M. Datcu, I. Kompatsiaris, "Early and Late Fusion of Multiple Modalities in Sentinel Imagery and Social Media Retrieval" , in 11th IAPR International Workshop on Pattern Recognition in Remote Sensing (PRRS 2020/2021), in conjunction with the International Conference on Pattern Recognition (ICPR 2020), 10 January 2021.

Semantically enriched crop type classification and Linked Earth Observation Data to support the Common Agricultural Policy monitoring

M. Rousi, V. Sitokonstantinou, G. Meditskos, I. Papoutsis, I. Gialampoukidis, A. Koukos, V. Karathanassi, T. Drivas, S. Vrochidis, C. Kontoes, I. Kompatsiaris. “Semantically enriched crop type classification and Linked Earth Observation Data to support the Common Agricultural Policy monitoring”. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. vol. 14, pp. 529-552, 17 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.