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КартаВръзкиТемиБългарияНощта (K-TRIO)Мария Склодовска-КюриЗа ученициЗа учителиМетодологияИзненадай ме
H2020Обмен на изследователи2016–2019

SEO-DWARF · Semantic EO Data Web Alert and Retrieval Framework

„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“

Период
2016-01-01 → 2019-12-31
Финансиране от ЕС
1 584 000 €
Участници
10
Схема
MSCA-RISE

Линиите свързват координатора с партньорите.

Накратко на български

Системата SEO-DWARF разработва начин за търсене на сателитни снимки чрез конкретни заявки, например за изчисляване на хлорофила в Балтийско море. Това помага на потребителите по-лесно да откриват морски явления и да получават известия за тях според своите нужди.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

Semantic EO Data Web Alert and Retrieval Framework

SEO-DWARF project addresses the bridging of the gap between the raw information that remote sensing images provide and the knowledge gained from the marine application domain in order to retrieve relevant to the semantic query data. To this end, an enhancement of the already provided Sentinel services take place, by altering the form, content and/or nature of the information, and thereby adding value to it. Therefore, the detection of marine phenomena - e.g. hot spots, upwelling, fronts, turbidity, etc - from Earth Observation (EO) images will be achieved. Moreover, the proposed alerting system to the users contributes to a compact integrated retrieval and alerting service for marine phenomena, depending on the user needs and preferences. The main objective of SEO-DWARF is to realize the content-based search of earth observation images on an application specific basis. The marine application domain and data from Sentinels 1, 2, 3 and ENVISAT will be used. Queries such as “Calculate the rate of increasing chlorophyll in the Baltic Sea” 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.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

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.

Оригинален текст от CORDIS (на английски).

Участници

Връзки

Данни: CORDIS, © Европейски съюз