Computational Intelligence for Multi-Source Remote Sensing Data Analytics

Información del proyecto

CALCHAS

Identificador del acuerdo de subvención: 842560

DOI 10.3030/842560

Proyecto cerrado

Fecha de la firma de la CE 25 Abril 2019

Fecha de inicio 1 Noviembre 2019

Fecha de finalización 30 Abril 2022

Financiado con arreglo a

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Coste total € 215 492,16

Aportación de la UE € 215 492,16

Coordinado por

IDRYMA TECHNOLOGIAS KAI EREVNAS
Greece

Publicaciones

Peer reviewed articles (6)

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

Autores: Maria Aspri; Grigorios Tsagkatakis; Panagiotis Tsakalides
Publicado en: Remote Sensing, Edición 12(17), 2020, ISSN 2072-4292
Editor: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs12172670

Tensor Decomposition Learning for Compression of Multidimensional Signals

Autores: Aidini Anastasia; Tsagkatakis Grigorios; Tsakalides Panagiotis
Publicado en: IEEE Journal of Selected Topics in Signal Processing, Edición 1, 2021, Página(s) 476 - 490, ISSN 1932-4553
Editor: Institute of Electrical and Electronics Engineers
DOI: 10.1109/JSTSP.2021.3054314

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

Autores: Giannopoulos Michalis, Tsagkatakis Grigorios, Tsakalides Panagiotis
Publicado en: remote sensing, Edición 14(3), 2022, ISSN 2072-4292
Editor: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs14030634

Embedded Temporal Convolutional Networks for Essential Climate Variables Forecasting

Autores: Villia Maria Myrto; Tsagkatakis Grigorios; Moghaddam Mahta; Tsakalides Panagiotis
Publicado en: Sensors, Edición 2, 2022, ISSN 1424-8220
Editor: 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

Autores: Drakonakis Georgios; Tsagkatakis Grigorios; Fotiadou Konstantina; Tsakalides Panagiotis
Publicado en: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Edición 15, 2022, ISSN 1939-1404
Editor: 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

Autores: Georgios Vernardos, Grigorios Tsagkatakis, Yannis Pantazis
Publicado en: Monthly Notices of the Royal Astronomical Society, Edición 499/4, 2020, Página(s) 5641-5652, ISSN 0035-8711
Editor: 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

Autores: Michalis Giannopoulos; Grigorios Tsagkatakis; Panagiotis Tsakalides
Publicado en: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022, ISBN 978-1-6654-0540-9
Editor: IEEE
DOI: 10.1109/icassp43922.2022.9746777

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

Autores: Tsagkatakis Grigorios; Moghaddam Mahta; Tsakalides Panagiotis
Publicado en: IEEE International Geoscience and Remote Sensing Symposium, Edición 9, 2021, ISBN 978-1-6654-0369-6
Editor: IEEE
DOI: 10.5281/zenodo.6674311

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

Autores: Tsagkatakis Grigorios; Moghaddam Mahta; Tsakalides Panagiotis
Publicado en: IEEE International Geoscience and Remote Sensing Symposium, 2020, ISBN 978-1-7281-6373-4
Editor: IEEE
DOI: 10.1109/IGARSS39084.2020.9323790