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

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

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