Computational Intelligence for Multi-Source Remote Sensing Data Analytics

Project Information

CALCHAS

Grant agreement ID: 842560

DOI 10.3030/842560

Project closed

EC signature date 25 April 2019

Start date 1 November 2019

End date 30 April 2022

Funded under

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Total cost € 215 492,16

EU contribution € 215 492,16

Coordinated by

IDRYMA TECHNOLOGIAS KAI EREVNAS
Greece

Publications

Peer reviewed articles (6)

Distributed Training and Inference of Deep Learning Models for Multi-Modal Land Cover Classification

Author(s): Maria Aspri; Grigorios Tsagkatakis; Panagiotis Tsakalides
Published in: Remote Sensing, Issue 12(17), 2020, ISSN 2072-4292
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs12172670

Tensor Decomposition Learning for Compression of Multidimensional Signals

Author(s): Aidini Anastasia; Tsagkatakis Grigorios; Tsakalides Panagiotis
Published in: IEEE Journal of Selected Topics in Signal Processing, Issue 1, 2021, Page(s) 476 - 490, ISSN 1932-4553
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/JSTSP.2021.3054314

4D U-Nets for Multi-Temporal Remote Sensing Data Classification

Author(s): Giannopoulos Michalis, Tsagkatakis Grigorios, Tsakalides Panagiotis
Published in: remote sensing, Issue 14(3), 2022, ISSN 2072-4292
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs14030634

Embedded Temporal Convolutional Networks for Essential Climate Variables Forecasting

Author(s): Villia Maria Myrto; Tsagkatakis Grigorios; Moghaddam Mahta; Tsakalides Panagiotis
Published in: Sensors, Issue 2, 2022, ISSN 1424-8220
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s22051851

OmbriaNet — Supervised Flood Mapping via Convolutional Neural Networks Using Multitemporal Sentinel-1 and Sentinel-2 Data Fusion

Author(s): Drakonakis Georgios; Tsagkatakis Grigorios; Fotiadou Konstantina; Tsakalides Panagiotis
Published in: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Issue 15, 2022, ISSN 1939-1404
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.5281/zenodo.6674223

Quantifying the structure of strong gravitational lens potentials with uncertainty-aware deep neural networks

Author(s): Georgios Vernardos, Grigorios Tsagkatakis, Yannis Pantazis
Published in: Monthly Notices of the Royal Astronomical Society, Issue 499/4, 2020, Page(s) 5641-5652, ISSN 0035-8711
Publisher: Blackwell Publishing Inc.
DOI: 10.1093/mnras/staa3201

Conference proceedings (3)

4D Convolutional Neural Networks for Multi-Spectral and Multi-Temporal Remote Sensing Data Classification

Author(s): Michalis Giannopoulos; Grigorios Tsagkatakis; Panagiotis Tsakalides
Published in: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022, ISBN 978-1-6654-0540-9
Publisher: IEEE
DOI: 10.1109/icassp43922.2022.9746777

Deep multi-modal satellite and in-situ observation fusion for Soil Moisture retrieva

Author(s): Tsagkatakis Grigorios; Moghaddam Mahta; Tsakalides Panagiotis
Published in: IEEE International Geoscience and Remote Sensing Symposium, Issue 9, 2021, ISBN 978-1-6654-0369-6
Publisher: IEEE
DOI: 10.5281/zenodo.6674311

Multi-Temporal Convolutional Neural Networks for Satellite-Derived Soil Moisture Observation Enhancement

Author(s): Tsagkatakis Grigorios; Moghaddam Mahta; Tsakalides Panagiotis
Published in: IEEE International Geoscience and Remote Sensing Symposium, 2020, ISBN 978-1-7281-6373-4
Publisher: IEEE
DOI: 10.1109/IGARSS39084.2020.9323790