Grid computing for hyperspectral data processing

Keyphrases

• Hyperspectral Image Processing 100%
• Grid Computing 100%
• Computer System 66%
• Grid Architecture 66%
• Spatial Resolution 33%
• Hyperspectral 33%
• Distributed Computing 33%
• Parallel Computing 33%
• Computational Complexity 33%
• Heterogeneous Resources 33%
• Grid Environment 33%
• Multispectral Imagery 33%
• Exhaustive Search 33%
• Spectral Interval 33%
• Material Composition 33%
• Computing Model 33%
• Parallel Machines 33%
• Grid-based 33%
• Virtual Machine 33%
• Computer Architecture 33%
• Emerging Computing 33%
• Dedicated Machines 33%
• Grid System 33%
• Computing Environment 33%
• Flex-grid 33%
• Spectral Resolution 33%
• Record Data 33%
• Current Configuration 33%
• CPU Cycle 33%
• Complexity Level 33%
• Administrative Boundaries 33%
• Distributed Parallel 33%
• Computational Requirements 33%
• Computational Cost 33%
• Subpixel Targets 33%
• Underutilization 33%
• Distributed Cluster 33%

Computer Science

• Hyperspectral Data 100%
• Grid Computing 100%
• Data Processing 100%
• Computer System 50%
• Experimental Result 25%
• Distributed Computing 25%
• Hyperspectral Image Processing 25%
• Computational Complexity 25%
• Computing Environment 25%
• Heterogeneous Resource 25%
• Grid Environment 25%
• Virtual Computer 25%
• Computer Architecture 25%
• Computational Cost 25%
• Parallel Machine 25%
• Material Composition 25%
• Exhaustive Search 25%
• Complexity Level 25%
• Parallel Computer 25%