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Implementation of NASA's Hyperspectral RHSEG (Recursive Hierarchical Segmentation) as hyprid CPU/GPU parallel algorithm

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RHSEG Hyperspectral GPU

Implementation of the paper "Accelerated hyperspectral image recursive hierarchical segmentation using GPUs, multicore CPUs, and hybrid CPU/GPU cluster".

A parallel accelerated implementation of NASA's hyperspectral clustering algorithm ("RHSEG": Recursive Hierarchical Segmentation) using hyprid CPU/GPU parallel implementation, using NVIDIA CUDA and Microsoft C++ AMP and QtConcurrent Library.

Cite this paper as: M.A. Hossam, H.M. Ebied, M.H. Abdel-Aziz, M.F. Tolba. Accelerated hyperspectral image recursive hierarchical segmentation using GPUs, multicore CPUs, and hybrid CPU/GPU cluster. Journal of Real-Time Image Processing (2014)

Link1: http://link.springer.com/article/10.1007%2Fs11554-014-0464-4
Link2: https://www.researchgate.net/publication/269465091_Accelerated_hyperspectral_image_recursive_hierarchical_segmentation_using_GPUs_multicore_CPUs_and_hybrid_CPUGPU_cluster

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Implementation of NASA's Hyperspectral RHSEG (Recursive Hierarchical Segmentation) as hyprid CPU/GPU parallel algorithm

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