Dutch title: Toegepaste munitie detectie dmv slimme data integratie en AI workflows
Principal funding codes: 3753 - H2020 - Research Infrastructures
Acronym: BASTA
Period: December 2019 till November 2022
Status: Completed
Thesaurus terms Adaptive agents and intelligent robotics; Data mining; Ecotoxicology; Geophysics not elsewhere classified; Machine learning and decision making; Marine geoscience; Modelling and simulation; Numerical computation; Seismology and seismic exploration
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| Institutes (4) | Top | Publication | - Vlaams Instituut voor de Zee (VLIZ), more, partner
- Barradas, José Felipe, partner
- Mestdagh, Thomas, partner
- Houthoofdt, Robin, partner
- Versteeg, Wim, partner
- Missiaen, Tine, promotor
- Helmholtz Centre for Ocean Research Kiel (GEOMAR), more, organiser
- EGEOS GmbH, more, partner
- G-tec s.a., more, partner
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| Abstract | | The project is aimed at cost-efficient detection and recognition of buried and exposed munition, both for regional scale reconnaissance (typical area size several km2) and for local scale surveys of known sites (verification of munition). The project combines 2 research institutes and 2 industrial partners for maximum valorization of the developed techniques. |
| Publication | Top | Institutes | - Greinert, J.; Kampmeier, M.; Barradas, F.; Beck, A.J.; Diller, N.; Seidel, M.A.; von See, B. (Ed.) (2023). Mine monitoring in the German Baltic Sea 2021; dumped munition monitoring. AL567. 17th – 31st October 2021, Kiel (Germany) – Kiel (Germany). „MineMoni‐III 2021“. GEOMAR Helmholtz Centre for Ocean Research: Kiel. 54 pp. https://dx.doi.org/10.3289/CR_AL567, more
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