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Wang C.-L.,Xian Shiyou University | Wang C.-L.,CAS Xian Institute of Optics and Precision Mechanic | Hu B.-L.,CAS Xian Institute of Optics and Precision Mechanic | Wang H.-W.,The Engineering University of the Chinese Peoples Armed Police Force | And 3 more authors.
Journal of Applied Optics | Year: 2013

In some large-scale image processing systems, multiple servers can achieve parallel processing image data stream to complete the complex data operations by building server cluster network. An Ethernet-based server cluster for huge hyperspectral image processing system was designed based on image characteristics. In order to achieve parallel processing, the task decomposition, algorithm pipelined processing and network load balancing were used in software design. The system is used in a hyperspectral image data processing system and the date rate can achieve 6000 Mbps. Source

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