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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| creator | 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. |
| description | 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. |
| doi_str_mv | 10.1109/IGARSS.2007.4423932 |
| format | Conference Proceeding |
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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.</description><subject>Data processing</subject><subject>Geoscience and remote sensing</subject><subject>High performance computing</subject><subject>Hyperspectral imaging</subject><subject>Hyperspectral sensors</subject><subject>Optical imaging</subject><subject>Optical sensors</subject><subject>Optical signal processing</subject><subject>Remote sensing</subject><subject>Systems biology</subject><issn>2153-6996</issn><issn>2153-7003</issn><isbn>9781424412112</isbn><isbn>1424412110</isbn><isbn>1424412129</isbn><isbn>9781424412129</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2007</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1kM1OwzAQhM2fRCl5gl7yAg7rtWPHXFBVhTZSBagtB06VCes2UJLIKar69kSizGUO32hGGsZGAhIhwN4V0_FiuUwQwCRKobQSz9iNUKiUQIH2nA1QpJIbAHnBImuyfybw8sS0tfqaRV33Cb2kVRbEgD3M3l7yBS_4U766j_Of0LTk6jhQRy6U27im_aEJX3FTx9tjS6FrqdwHt4urb7ep6s0tu_Ju11F08iF7fcxXkxmfP0-LyXjOKyFT5N6nmbfaGY_mHUGCltZ7KYXKwBmny4wcQuZRK9A-hVKTNA5TTDXhR58cstFfb0VE6zb08-G4Pn0hfwFXdEy8</recordid><startdate>200707</startdate><enddate>200707</enddate><creator>Plaza, A.</creator><creator>Mueller, A.</creator><creator>Richter, R.</creator><creator>Skauli, T.</creator><creator>Malenovsky, Z.</creator><creator>Bioucas, J.</creator><creator>Hofer, S.</creator><creator>Chanussot, J.</creator><creator>Jutten, C.</creator><creator>Carrere, V.</creator><creator>Baarstad, I.</creator><creator>Kaspersen, P.</creator><creator>Nieke, J.</creator><creator>Itten, K.</creator><creator>Hyvarinen, T.</creator><creator>Gamba, P.</creator><creator>Dell'Acqua, F.</creator><creator>Benediktsson, J.A.</creator><creator>Schaepman, M.E.</creator><creator>Clevers, J.G.P.</creator><creator>Zagajewski, B.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>200707</creationdate><title>HYPER-I-NET: European research network on hyperspectral imaging</title><author>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.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i1352-ff58f96a7f27b2030639ff331480a7a6c8ea208f26406f50c6e37a25256e2dff3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Data processing</topic><topic>Geoscience and remote sensing</topic><topic>High performance computing</topic><topic>Hyperspectral imaging</topic><topic>Hyperspectral sensors</topic><topic>Optical imaging</topic><topic>Optical sensors</topic><topic>Optical signal processing</topic><topic>Remote sensing</topic><topic>Systems biology</topic><toplevel>online_resources</toplevel><creatorcontrib>Plaza, A.</creatorcontrib><creatorcontrib>Mueller, A.</creatorcontrib><creatorcontrib>Richter, R.</creatorcontrib><creatorcontrib>Skauli, T.</creatorcontrib><creatorcontrib>Malenovsky, Z.</creatorcontrib><creatorcontrib>Bioucas, J.</creatorcontrib><creatorcontrib>Hofer, S.</creatorcontrib><creatorcontrib>Chanussot, J.</creatorcontrib><creatorcontrib>Jutten, C.</creatorcontrib><creatorcontrib>Carrere, V.</creatorcontrib><creatorcontrib>Baarstad, I.</creatorcontrib><creatorcontrib>Kaspersen, P.</creatorcontrib><creatorcontrib>Nieke, J.</creatorcontrib><creatorcontrib>Itten, K.</creatorcontrib><creatorcontrib>Hyvarinen, T.</creatorcontrib><creatorcontrib>Gamba, P.</creatorcontrib><creatorcontrib>Dell'Acqua, F.</creatorcontrib><creatorcontrib>Benediktsson, J.A.</creatorcontrib><creatorcontrib>Schaepman, M.E.</creatorcontrib><creatorcontrib>Clevers, J.G.P.</creatorcontrib><creatorcontrib>Zagajewski, B.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Plaza, A.</au><au>Mueller, A.</au><au>Richter, R.</au><au>Skauli, T.</au><au>Malenovsky, Z.</au><au>Bioucas, J.</au><au>Hofer, S.</au><au>Chanussot, J.</au><au>Jutten, C.</au><au>Carrere, V.</au><au>Baarstad, I.</au><au>Kaspersen, P.</au><au>Nieke, J.</au><au>Itten, K.</au><au>Hyvarinen, T.</au><au>Gamba, P.</au><au>Dell'Acqua, F.</au><au>Benediktsson, J.A.</au><au>Schaepman, M.E.</au><au>Clevers, J.G.P.</au><au>Zagajewski, B.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>HYPER-I-NET: European research network on hyperspectral imaging</atitle><btitle>2007 IEEE International Geoscience and Remote Sensing Symposium</btitle><stitle>IGARSS</stitle><date>2007-07</date><risdate>2007</risdate><spage>4790</spage><epage>4793</epage><pages>4790-4793</pages><issn>2153-6996</issn><eissn>2153-7003</eissn><isbn>9781424412112</isbn><isbn>1424412110</isbn><eisbn>1424412129</eisbn><eisbn>9781424412129</eisbn><abstract>This paper addresses the main goals and objectives of the Hyperspectral Imaging Network (HYPER-I-NET), a recently started Marie Curie Research Training Network. 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| ispartof | 2007 IEEE International Geoscience and Remote Sensing Symposium, 2007, p.4790-4793 |
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| language | eng |
| recordid | cdi_ieee_primary_4423932 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| 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 |
| title | HYPER-I-NET: European research network on hyperspectral imaging |
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