Hyperspectral Computing Laboratory at the University of Extremadura

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Hyperspectral Computing Laboratory at the University of Extremadura

The Hyperspectral Computing Laboratory at University of Extremadura has specific experience in developing innovative techniques for hyperspectral data analysis and exploitation, including spatial/spectral endmember extraction and spectral unmixing, neural network-based classification, and hyperspectral data compression. The group also has extensive experience in efficient implementation of hyperspectral data processing techniques using high-performance computing architectures such as commodity clusters of computers, homogeneous/heterogeneous networks of workstations including Grid computing platforms, and hardware-based architectures including FPGAs and DSPs. The group has developed extensive international collaboration in the topic area, including the coordination of a Marie Curie Research Training Network on hyperspectral imaging (HYPER-I-NET) in the framework of FP6, as well other active collaborations with partners working in remote sensing activities in Europe and in the US. Previous experience of the UEX team in international research collaboration includes participation in several EU projects, including the HySens initiative led by DLR. The group has implemented collaboration agreements for exchange of researchers with the Computational and Information Sciences & Technology Office (CISTO) at NASA/Goddard Space Flight Center and the Remote Sensing Signal Image Processing Laboratory (RSSIPL) at University of Maryland. Members of the group have been involved in technical committees of relevant conferences at the IEEE and SPIE level, and top-cited scientific publications and patents have been produced related with the exploitation of hyperspectral imaging technology in different areas. Members of the group have also been involved in the technical committee and reviewing process of various conferences and journals in these disciplines, with several special issues and textbooks on the topic area being coordinated by group members.