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CORDIS - Risultati della ricerca dell’UE
CORDIS

Copernicus Artificial Intelligence Services and data fusion with other distributed data sources and processing at the edge to support DIAS and HPC infrastructures

Risultati finali

The CALLISTO ontologies and semantic indexing

The document will present the schema of the project ontologies and the semantic indexing of heterogeneous low-level data.

Technical requirements and platform development roadmap

The document will contain the technical specifications, the first version of the architectural design of the CALLISTO framework.

Optimising CALLISTO processes with HPC infrastructures

The document will describe how the CALLISTO algorithms will be deployed as processes in High Performance Computing.

Air quality forecasting and Geospatial Business Intelligence tool

This deliverable will describe the processing methods of air quality data and air quality forecasting methodology and the development of the GeoBI tool

3D model reconstruction from satellite data

The document will report the development of 3D models that will be reconstructed using satellite data

Final dissemination report and clustering with other projects

The document will present the dissemination and collaboration activities until the end of the project.

Crop and land border monitoring

The document will present a crop and grassland monitoring system for the control of the CAP, a land border change detection methodology and computer vision techniques at the edge.

Multimodal fusion for event detection

The document will describe the methods of discovering events using EO and nonEO data

Requirements communication and stakeholder engagement

The document will describe how stakeholders are involved and how the users knowledge is transferred to the developers

Water quality estimation

This deliverable will describe the processing methods of in situ data for monitoring water quality and the air pollution forecasting methodology.

Detailed pilot use cases and user requirements

The document will provide the updated pilot use cases if necessary and the corresponding user and business requirements

User training framework

The document will comprise CALLISTO’s training offer, including several types of materials and manuals such as on-line application, i.e., videos, user (web) guides.

Initial Communication and Dissemination plan

The document will present the campaignbased communication and dissemination plan identifying target audiences key messages channels and metrics

Pilot use case design and user requirements

The document will comprehensively illustrate both in a verbose and a formal UML way the different use cases foreseen by the project as well as the user requirements as a basis for technical development

Mid-term dissemination plan

The document will report the main activities on dissemination and communication of the past period as well as an updated plan with future activities

Alert-driven UAV path planning for maximized situation awareness

The deliverable will illustrate the proposed approach in order to provide an optimized fight plan for UAVs.

Data Indexing, documentation and cataloguing

will illustrate the enlargement of the ONDA data model with unstructured data made available by CALLISTO.

Mixed Reality applications

The deliverable will describe the Mixed Reality user interfaces constructed for the CALLISTO system.

Social media and mobile data collection

The deliverable will describe the process of collecting crowdsourced information that originates from social media and the CALLISTO mobile app.

Named entity recognition for geo-referencing

The deliverable will describe the detection of locations in raw text and the linking of identified locations with open geodata.

Data availability for AI models and quality of annotated data v2

This deliverable will be an update on generated training datasets.

Advanced semantic querying

This deliverable will be the final report on the populated CALLISTO ontologies, the named entity recognition module and the semantic complex querying.

Data availability for AI models and quality of annotated data v1

This deliverable will describe the training datasets that will be generated until M15.

CALLISTO web presence

The deliverable will demonstrate the structure and the initial content of the CALLISTO website

Pilots implementation and final system evaluation report

The deliverable will illustrate how to deploy and validate the technologies for each pilot, along with a set of recommendations emerging from the pilot demonstration. This report will also include the final CALLISTO showcase.

Pilots implementation and 1st prototype evaluation report

The deliverable will contain the evaluation report of the 1st prototype.

Pilots implementation and 2nd prototype evaluation report

The deliverable will contain the evaluation report of the 2nd prototype.

Data management plan

The document will describe the data management plan, taking into account the following aspects:- The handling of research data during & after the end of the project- What data will be collected, processed and/or generated- Which methodology & standards will be applied- Whether data will be shared/made open access and- How data will be curated & preserved (including after the end of the project).

Pubblicazioni

Deep Learning for Remote Sensing Image Downscaling: Fusion and Super-Resolution

Autori: Maria Sdraka; Ioannis Papoutsis; Bill Psomas; Konstantinos Vlachos; Konstantinos Ioannidis; Konstantinos Karantzalos; Ilias Gialampoukidis; Stefanos Vrochidis
Pubblicato in: IEEE Geoscience and Remote Sensing Magazine, 2022, ISSN 2168-6831
Editore: IEEE Geosciene and Remote Sensing Society
DOI: 10.1109/mgrs.2022.3171836

Earthquakes: From Twitter Detection to EO Data Processing

Autori: Stelios Andreadis; Ilias Gialampoukidis; Andrea Manconi; David Cordeiro; Vasco Conde; Manuela Sagona; Fabrice Brito; Nick Pantelidis; Thanassis Mavropoulos; Nuno Grosso; Stefanos Vrochidis; Ioannis Kompatsiaris
Pubblicato in: IEEE Geoscience and Remote Sensing Letters, 19, Numero 19, 2022, Pagina/e 1-5, ISSN 1558-0571
Editore: IEEE
DOI: 10.3929/ethz-b-000538275

Fuzzy clustering for the within-season estimation of cotton phenology

Autori: Vasileios Sitokonstantinou,Alkiviadis Koukos,Ilias Tsoumas, Nikolaos S. Bartsotas, Charalampos Kontoes, Vassilia Karathanassi
Pubblicato in: PLOS ONE, Numero March 8, 2023, 2023, ISSN 1932-6203
Editore: Public Library of Science
DOI: 10.1371/journal.pone.0282364

Using Hyperspectral Remote Sensing to Monitor Water Quality in Drinking Water Reservoirs

Autori: Clémence Goyens; Héloïse Lavigne; Antoine Dille; Han Vervaeren
Pubblicato in: Remote Sensing; Volume 14; Numero 21; Pages: 5607, 2022, ISSN 2072-4292
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs14215607

Systematically Improving the Efficiency of Grid-Based Coverage Path Planning Methodologies in Real-World UAVs’ Operations

Autori: Savvas Apostolidis; Georgios Vougiatzis; Athanasios Kapoutsis; Savvas Chatzichristofis; Elias Kosmatopoulos
Pubblicato in: Drones, Numero 7 (6), 2023, Pagina/e 399, ISSN 2504-446X
Editore: MDPI
DOI: 10.3390/drones7060399

Assessing the Added Value of Sentinel-1 PolSAR Data for Crop Classification

Autori: Maria Ioannidou; Alkiviadis Koukos; Vasileios Sitokonstantinou; Ioannis Papoutsis; Charalampos Kontoes;
Pubblicato in: Remote Sensing, volume 14, page 5,739 (eissn: 2072-4292), 2022, Pagina/e page 5,739, ISSN 2072-4292
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs14225739

Language Model Guided Knowledge Graph Embeddings

Autori: Mirza Mohtashim Alam; Md Rashad Al Hasan Rony; Mojtaba Nayyeri; Karishma Mohiuddin; M. S. T. Mahfuja Akter; Sahar Vahdati; Jens Lehmann
Pubblicato in: IEEE Access, Numero 10, 2022, Pagina/e 76008 - 76020, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2022.3191666

Recurrent U-Net based dynamic paddy rice mapping in South Korea with enhanced data compatibility to support agricultural decision making

Autori: Hyun-Woo Jo, Eunbeen Park, Vasileios Sitokonstantinou, Joon Kim, Sujong Lee, Alkiviadis Koukos & Woo-Kyun Lee
Pubblicato in: GIScience & Remote Sensing; VOL 60; NO. 1; 2206539, 2023, ISSN 1943-7226
Editore: Taylor & Francis
DOI: 10.1080/15481603.2023.2206539

Unsupervised feature selection based on variance–covariance subspace distance

Autori: Saeed Karami; Farid Saberi-Movahed; Prayag Tiwari; Pekka Marttinen; Sahar Vahdati
Pubblicato in: Neural Networks, Numero 166, 2023, Pagina/e 188-203, ISSN 0893-6080
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.neunet.2023.06.018

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

Autori: Ilias Gialampoukidis, Stelios Andreadis, Nick Pantelidis, Sameed Hayat, Li Zhong, Marios Bakratsas, Dennis Hoppe, Stefanos Vrochidis, Ioannis Kompatsiaris
Pubblicato in: Proceedings of the 28th International Conference on Multimedia Modeling (MMM 2022), 2022
Editore: Springer
DOI: 10.5281/zenodo.5845054

MuseHash: Supervised Bayesian Hashing for Multimodal Image Representation

Autori: Maria Pegia, Björn Þór Jónsson, Anastasia Moumtzidou, Ilias Gialampoukidis, Stefanos Vrochidis, Ioannis Kompatsiaris
Pubblicato in: ICMR '23: Proceedings of the 2023 ACM International Conference on Multimedia Retrieval, 2023, Pagina/e 434-442, ISBN 979-8-4007-0178-8
Editore: Association for Computing Machinery
DOI: 10.1145/3591106.3592228

BiasUNet: Learning Change Detection over Sentinel-2 Image Pairs

Autori: Pegia, Maria Eirini; Moumtzidou, Anastasia; Gialampoukidis, Ilias; Jónsson, Björn Þór; Vrochidis, Stefanos; Kompatsiaris, Ioannis
Pubblicato in: 19th International Conference on Content-based Multimedia Indexing (CBMI), 14-16 September 2022, Numero 1, 2022
Editore: ACM
DOI: 10.5281/zenodo.7037539

BiasHash: A Bayesian Hashing Frameworkfor Image Retrieval

Autori: Maria, Pegia, Anastasia, Moumtzidou, Ilias, Gialampoukidis, Bjorn, por Jonsson, Stefanos, Vrochidis, Ioannis Kompatsiaris
Pubblicato in: IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP), 2022
Editore: IEEE
DOI: 10.1109/ivmsp54334.2022.9816233

Dihedron Algebraic Embeddings for Spatio-Temporal Knowledge Graph Completion

Autori: Mojtaba, Nayyeri, Sahar, Vahdati, Tansen, Khan, Mirza, Mohtashim Alam, Lisa, Wenige, Andreas, Behrend, Jens, Lehmann
Pubblicato in: ESWC 2022: The Semantic Web, 2022
Editore: Springer, Cham

SPARQL querying for validating the usage of automatically georeferenced social media data as human sensors for air quality

Autori: Stelios, Andreadis, Thanassis, Mavropoulos, Nick, Pantelidis, Stefanos, Vrochidis, Mirette, Elias, Charis, Papadopoulos, Ilias, Gialampoukidis, Ioannis, Kompatsiaris
Pubblicato in: IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP), 2022
Editore: IEEE
DOI: 10.1109/ivmsp54334.2022.9816191

Real-time Alert Framework for Fire Incidents Using Multimodal Event Detection on Social Media Streams

Autori: Thomas, Papadimos, Nick, Pantelidis, Stelios, Andreadis, Aristeidis, Bozas, Ilias, Gialampoukidis, Stefanos, Vrochidis, Ioannis, Kompatsiaris
Pubblicato in: 19th International Conference on Information Systems for Crisis Response and Management, 2022
Editore: ISCRAM

Activity-Based Intelligence for Land Cover Change Detection: A novel framework for Border Surveillance

Autori: José Santos
Pubblicato in: Living Planet Symposium 2022, 2022
Editore: European Space Agency

Towards Global Crop Maps with Transfer Learning (Papers Track)

Autori: Hyun-Woo Jo; Alkiviadis Marios Koukos ; Vasileios Sitokonstantinou; Woo-Kyun Lee, Charalampos Kontoes
Pubblicato in: Tackling Climate Change with Machine Learning: workshop at NeurIPS 2022., Numero Climate Change AI, 2022
Editore: Climate Change AI
DOI: 10.48550/arxiv.2211.04755

DisasterMM: Multimedia Analysis of Disaster-Related Social Media Data Task at MediaEval 2022

Autori: Stelios Andreadis; Aristeidis Bozas; Ilias Gialampoukidis; Anastasia Moumtzidou; Roberto Fiorin; Francesca Lombardo; Thanassis Mavropoulos; Daniele Norbiato; Stefanos Vrochidis; Michele Ferri; Ioannis Kompatsiaris
Pubblicato in: Multimedia Benchmark Workshop, Numero 3, 2022
Editore: MediaEval 2022
DOI: 10.5281/zenodo.7599889

Language Models as Controlled Natural Language Semantic Parsers for Knowledge Graph Question Answering

Autori: Lehmann, Jens Gattogi, Preetam Bhandiwad, Dhananjay Ferré, Sébastien Vahdati, Sahar
Pubblicato in: ECAI 2023, 2023, ISBN 9781643684369
Editore: Amazon
DOI: 10.3233/faia230411

Air Quality Forecasting Using a Deep Long-short Memory Network Model

Autori: G, Gousios, V, Vourlioti, T, Mamouka, S, Kotsopoulos, P, Syropoulou, D, Delioglani, N, Pliakis
Pubblicato in: 13th International Conference on Air Quality - Science and Application 2022, 2022, ISBN 978-1-3999-2835-9
Editore: Aristotle University of Thessaloniki, Greece and University of Hertfordshire, UK
DOI: 10.18745/pb.25560

Distributing Deep Learning Hyperparameter Tuning for 3D Medical Image Segmentation

Autori: Josep Ll. Berral; Oriol Aranda; Juan Luis Dominguez; Jordi Torres
Pubblicato in: 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2022, Pagina/e 1045-1052, ISBN 978-1-6654-9747-3
Editore: IEEE
DOI: 10.1109/ipdpsw55747.2022.00172

DataCAP: A Satellite Datacube and Crowdsourced Street-level Images for the Monitoring of the Common Agricultural Policy

Autori: Sitokonstantinou Vasileios, Koukos Alkiviadis, Drivas Thanassis, Kontoes Charalampos, Karathanassi Vassilia
Pubblicato in: Proceedings of the 28th International Conference on Multimedia Modeling (MMM 2022), 2022
Editore: Springer
DOI: 10.5281/zenodo.5845512

CALLISTO: Copernicus Artificial Intelligence Services and data fusion with other distributed data sources and processing at the edge to support DIAS and HPC infrastructures

Autori: Stelios Andreadis, Ilias Gialampoukidis, Vasileios Sitokonstantinou, Beatrice Coloru, Han Vervaeren, Eva Lopez, Vasileios Kalogirou, Panagiota Syropoulou, Elias B. Kosmatopoulos, Stefanos Vrochidis, Eliana Li Santi, Guido Vingione, and Ioannis Kompatsiaris
Pubblicato in: Proceedings of the 2021 Conference on Big Data from Space (BiDS’21), 2021, Pagina/e 177-180, ISBN 978-92-76-37661-3
Editore: Publications Office of the EU
DOI: 10.2760/125905

Knowledge Graph Representation Learning using Ordinary Differential Equations

Autori: Mojtaba Nayyeri, Chengjin Xu, Franca Hoffmann, Mirza Mohtashim Alam, Jens Lehmann, Sahar Vahdati
Pubblicato in: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2021.emnlp-main.750

VERGE in VBS 2023

Autori: Nick Pantelidis, Stelios Andreadis, Maria Pegia, Anastasia Moumtzidou, Damianos Galanopoulos, Konstantinos Apostolidis, Despoina Touska, Konstantinos Gkountakos, Ilias Gialampoukidis, Stefanos Vrochidis, Vasileios Mezaris, Ioannis Kompatsiaris
Pubblicato in: MultiMedia Modeling, Numero 13833, 2023, Pagina/e 658-664, ISBN 978-3-031-27077-2
Editore: Springer, Cham
DOI: 10.1007/978-3-031-27077-2_55

Fusion of multiple classifiers using self supervised learning for satellite image change detection

Autori: Alexandros Oikonomidis; Maria Pegia; Anastasia Moumtzidou; Ilias Gialampoukidis; Stefanos Vrochidis; Ioannis Kompatsiaris
Pubblicato in: MultiMedia Modeling. MMM 2023. Lecture Notes in Computer Science, Numero 13834, 2023, Pagina/e 623–634, ISBN 978-3-031-27818-1
Editore: Springer Cham
DOI: 10.1007/978-3-031-27818-1_51

Time-Quality Tradeoff of MuseHash Query Processing Performance.

Autori: Maria Pegia, Ferran Agullo Lopez, Anastasia Moumtzidou, Alberto Gutierrez-Torre, Björn Þór Jónsson, Josep Lluís Berral García, Ilias Gialampoukidis, Stefanos Vrochidis, Ioannis Kompatsiaris
Pubblicato in: MultiMedia Modeling, Numero 14556, 2024, Pagina/e 270-283, ISBN 978-3-031-53311-2
Editore: Springer, Cham
DOI: 10.1007/978-3-031-53311-2_20

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

Autori: Ilias Gialampoukidis, Stelios Andreadis, Stefanos Vrochidis, Ioannis Kompatsiaris
Pubblicato in: Proceedings of the 2021 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2021), 2021, Pagina/e 228-231, ISBN 978-1-6654-0369-6
Editore: IEEE
DOI: 10.1109/igarss47720.2021.9554176

Towards Space-to-Ground Data Availability for Agriculture Monitoring

Autori: George Choumos; Alkiviadis Koukos; Vasileios Sitokonstantinou; Charalampos Kontoes
Pubblicato in: IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP), 2022
Editore: IEEE
DOI: 10.1109/ivmsp54334.2022.9816335

Evaluating Digital Tools for Sustainable Agriculture using Causal Inference

Autori: Tsoumas, Ilias; Giannarakis, Georgios; Sitokonstantinou, Vasileios; Koukos, Alkiviadis; Loka, Dimitra; Bartsotas, Nikolaos; Kontoes, Charalampos; Athanasiadis, Ioannis
Pubblicato in: NeurIPS 2022 Workshop: Tackling Climate Change with Machine Learning, 2022
Editore: Climate Change AI
DOI: 10.48550/arxiv.2211.03195

LEMON: LanguagE MOdel for Negative Sampling of Knowledge Graph Embeddings

Autori: Md Rashad Al Hasan Rony; Mirza Mohtashim Alam; Semab Ali; Qasid Saleem; Jens Lehmann; Sahar Vahdati
Pubblicato in: 2022
Editore: Springer Nature
DOI: 10.21203/rs.3.rs-2188328/v1

COLLABORATIVE PLATFORM FOR PROTOTYPING, DEVELOPING AND EXECUTING EO AND AI BASED SERVICES

Autori: Yasmine BOULFANI and Vincent GAUDISSART
Pubblicato in: International Geoscience and Remote Sensing Symposium (IGARSS), 2023
Editore: ieeeigarss
DOI: 10.5281/zenodo.10454558

Filling Cloud Gaps on Optical Time-Series through Optical and SAR Data Fusion for Cropland Monitoring

Autori: Thomas Papadimos; Stelios Andreadis; Vasileios Sitokonstantinou; Alkiviadis Koukos; George Choumos; Ilias Gialampoukidis; Stefanos Vrochidis; Charalampos Kontoes; Ioannis Kompatsiaris
Pubblicato in: Living Planet Symposium 2022, Numero 1, 2022
Editore: Poster presentation
DOI: 10.5281/zenodo.7056724

DataCAP: Sentinel datacubes, crowdsourced street-level images and annotated benchmark datasets for the monitoring of the CAP.” 2022 Living Planet Symposium LPS 2022

Autori: Vasileios, Sitokonstantinou, Alkiviadis, Koukos, George, Choumos, Charalampos, Kontoes
Pubblicato in: Living Planet Symposium 2022, 2022
Editore: European Space Agency

Big Earth Data and Machine Learning for Sustainable and Resilient Agriculture

Autori: Sitokonstantinou, Vasileios
Pubblicato in: 2022
Editore: National Technical University of Athens
DOI: 10.48550/arxiv.2211.12584

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