Objective
Technological advances in remote sensing have increased the availability of satellite images with different spatiotemporal and spectral characteristics.There is difficulty for retrieving the most appropriate data for each user's needs.One key challenge is to connect the quantitative information of the EO images with the qualitative (high-level user queries) and be able to mine these connections in big archives.An inherent question arises; how to retrieve EO images based on user semantically aware questions.Content based EO image retrieval techniques have been introduced for bridging the gap between low-level image features and high-level queries.The main constraint of the existing approaches is the generalization of the problem.The formulated ontologies are not focused on the constraints of EO images.The main objective of SEO-DWARF is to realize the content-based search of EO images on an application specific basis.The marine application domain and data from Sentinels 1,2,3, ENVISAT will be used.Queries such as “Calculate the rate of increasing chlorophyll in the NATURA area” will be answered by the SEO-DWARF, helping users to retrieve the appropriate EO images for their specific needs or alert them when a specific phenomenon occurs.The research contains the:a) ontology formalization for the specific research topics,b) determination of the semantic queries for the application domains,c) algorithm development for extracting metadata from the EO images,d) design of an architecture of the platform to perform the semantic image retrieval and storage and management of the extracted metadata.All four aspects will be integrated in an innovative and user-friendly web based platform enabling the users to retrieve images for marine applications or register for a semantic alert.A strong and experienced research team, of 4 academic and 5 industrial partners, coming from Greece(3), Italy(2), Germany(1), France(1), Cyprus(1) and Switzerland(1) constitute the project’s consortium.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences knowledge engineering ontology
- engineering and technology mechanical engineering vehicle engineering aerospace engineering satellite technology
- natural sciences computer and information sciences data science data mining
- engineering and technology environmental engineering remote sensing
- natural sciences computer and information sciences internet semantic web
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.3. - Stimulating innovation by means of cross-fertilisation of knowledge
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
MSCA-RISE - Marie Skłodowska-Curie Research and Innovation Staff Exchange (RISE)
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-MSCA-RISE-2015
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
70132 Bari
Italy
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.