Skip to content

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

License

Notifications You must be signed in to change notification settings

ross201601/RHSEG-Hyperspectral-GPU

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

13 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

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

About

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

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • C++ 94.3%
  • Cuda 5.2%
  • Other 0.5%