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JPDC
2006
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13 years 4 months ago
Commodity cluster-based parallel processing of hyperspectral imagery
The rapid development of space and computer technologies has made possible to store a large amount of remotely sensed image data, collected from heterogeneous sources. In particul...
Antonio Plaza, David Valencia, Javier Plaza, Pablo...
DAGSTUHL
2009
13 years 5 months ago
Learning Highly Structured Manifolds: Harnessing the Power of SOMs
Abstract. In this paper we elaborate on the challenges of learning manifolds that have many relevant clusters, and where the clusters can have widely varying statistics. We call su...
Erzsébet Merényi, Kadim Tasdemir, Li...
EUROPAR
2007
Springer
13 years 10 months ago
Towards Real-Time Compression of Hyperspectral Images Using Virtex-II FPGAs
Abstract. Hyperspectral imagery is a new type of high-dimensional image data which is now used in many Earth-based and planetary exploration applications. Many efforts have been d...
Antonio Plaza
DCC
2003
IEEE
14 years 4 months ago
Compression of Hyperspectral Imagery
Giovanni Motta, Francesco Rizzo, James A. Storer