Parallel and Distributed Dimensionality Reduction of Hyperspectral Data on Cloud Computing Architectures.
Zebin WuYonglong LiAntonio PlazaJun LiFu XiaoZhihui WeiPublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2016)
Keyphrases
- cloud computing
- map reduce
- dimensionality reduction
- hyperspectral data
- commodity hardware
- random projections
- cloud computing environment
- distributed computing
- parallel programming
- computing resources
- load balance
- hyperspectral
- data center
- hyperspectral images
- computing platform
- hyperspectral imagery
- principal components
- computing infrastructure
- high dimensional data
- mapreduce framework
- data management
- service providers
- parallel processing
- remote sensing
- high dimensionality
- high dimensional
- cloud storage
- cloud computing platform
- feature extraction
- parallel computing
- shared memory
- low dimensional
- parallel computation
- parallel architectures
- distributed systems
- load balancing
- multispectral
- principal component analysis
- pattern recognition
- dimension reduction
- infrared
- peer to peer
- feature space