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    JPDC
    2008
    217views more  JPDC 2008»
    Parallel techniques for information extraction from hyperspectral imagery using heterogeneous networks of workstations
    13 years 4 months ago
    Parallel techniques for information extraction from hyperspectral imagery using heterogeneous networks of workstations
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    Recent advances in space and computer technologies are revolutionizing the way remotely sensed data is collected, managed and interpreted. In particular, NASA is continuously gath...
    Antonio J. Plaza
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    IGARSS
    2009
    151views Remote Sensing» more  IGARSS 2009»
    High Performance Computing for Hyperspectral Image Analysis: Perspective and State-of-the-art
    13 years 2 months ago
    High Performance Computing for Hyperspectral Image Analysis: Perspective and State-of-the-art
    Download  www.umbc.edu
    The main purpose of this paper is to describe available (HPC)based implementations of remotely sensed hyperspectral image processing algorithms on multi-computer clusters, heterog...
    Antonio Plaza, Qian Du, Yang-Lang Chang
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    PR
    2006
    141views more  PR 2006»
    Relaxational metric adaptation and its application to semi-supervised clustering and content-based image retrieval
    13 years 4 months ago
    Relaxational metric adaptation and its application to semi-supervised clustering and content-based image retrieval
    Download  repository.ust.hk
    The performance of many supervised and unsupervised learning algorithms is very sensitive to the choice of an appropriate distance metric. Previous work in metric learning and ada...
    Hong Chang, Dit-Yan Yeung, William K. Cheung
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    JPDC
    2006
    185views more  JPDC 2006»
    Commodity cluster-based parallel processing of hyperspectral imagery
    13 years 4 months ago
    Commodity cluster-based parallel processing of hyperspectral imagery
    Download  www.umbc.edu
    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...
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