HYPER-I-NET: European research network on hyperspectral imaging

This paper addresses the main goals and objectives of the Hyperspectral Imaging Network (HYPER-I-NET), a recently started Marie Curie Research Training Network. The project is designed to build an interdisciplinary research community focusing on hyperspectral imaging activities. The core strategy of...

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Published in2007 IEEE International Geoscience and Remote Sensing Symposium pp. 4790 - 4793
Main Authors Plaza, A., Mueller, A., Richter, R., Skauli, T., Malenovsky, Z., Bioucas, J., Hofer, S., Chanussot, J., Jutten, C., Carrere, V., Baarstad, I., Kaspersen, P., Nieke, J., Itten, K., Hyvarinen, T., Gamba, P., Dell'Acqua, F., Benediktsson, J.A., Schaepman, M.E., Clevers, J.G.P., Zagajewski, B.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2007
Subjects
Data processing
Geoscience and remote sensing
High performance computing
Hyperspectral imaging
Hyperspectral sensors
Optical imaging
Optical sensors
Optical signal processing
Remote sensing
Systems biology
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Summary:This paper addresses the main goals and objectives of the Hyperspectral Imaging Network (HYPER-I-NET), a recently started Marie Curie Research Training Network. The project is designed to build an interdisciplinary research community focusing on hyperspectral imaging activities. The core strategy of the network is to create a powerful interdisciplinary synergy between different domains of expertise closely related to hyperspectral imaging activities in Europe, ranging from sensor design and flight operation to data collection, processing, interpretation, and dissemination. Our main goals in this paper are to present the project to the Geoscience and Remote Sensing community and to provide an overview of the planned activities in each sub-activity covered by the network.
ISBN:9781424412112
1424412110
ISSN:2153-6996
2153-7003
DOI:10.1109/IGARSS.2007.4423932