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Hyperspectral imaging Network

Objectif

HYPER-I-NET is a four-year Marie Curie Research Training Network (RTN) designed to build an interdisciplinary European research community focusing on hyper-spectral imaging, an emerging science and technology that has opened ground- breaking perspectives in many Earth observation related applications. The theme of the network is at the confluence of heterogeneous disciplines, such as sensor design including optics and electronics, aerospace engineering, remote sensing, geosciences, computer sciences, signal processing and Earth observation related products.

The core strategy of the network will be to create, for the first time, a powerful interdisciplinary synergy between these domains of expertise within Europe, and use it to break new grounds in several key areas. The network will integrate scientific and technical expertise to increase European competitiveness and visibility in those areas. This will be achieved by organizing a well structured multidisciplinary training programme that will cover all the different aspects that comprise the hyper-spectral data processing chain ranging from sensor design and flight operation to data collection, processing, interpretation, and dissemination.

The network- training programme will provide top-ranking early stage and experienced researchers with in-depth, multidisciplinary education in strategic European research fields, such as monitoring of the environment including security issues (risk management). Training will be facilitated through laboratory secondments and specific training courses, and will deliver a critical mass of scientists equipped with the skills necessary for leading the future expansion in the use of this emerging technology. The network involves relevant European research teams and industrial companies with the necessary and complementary expertise to execute research and training activities aimed at unifying and integrating the European efforts on this highly interdisciplinary area.

Champ scientifique (EuroSciVoc)

Mots‑clés

Thème(s)

Appel à propositions

FP6-2005-MOBILITY-1
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Régime de financement

RTN - Marie Curie actions-Research Training Networks

Coordinateur

UNIVERSIDAD DE EXTREMADURA
Contribution de l’UE
Aucune donnée
Adresse
Plaza de Caldereros s/n
CACERES
Espagne
Coût total
Aucune donnée

Participants (14)