Accelerated hyperspectral image recursive hierarchical segmentation using GPUs, multicore CPUs, and hybrid CPU/GPU cluster

Author:

Hossam M. A.,Ebied H. M.,Abdel-Aziz M. H.,Tolba M. F.

Publisher

Springer Science and Business Media LLC

Subject

Information Systems

Reference38 articles.

1. Plaza, A.J., Chang, C.: High performance computing in remote sensing. Taylor & Francis Group, BocaRaton (FL) (2007)

2. Shippert, P.: Introduction to hyperspectral image analysis. Online J. Space Commun. 3 (2003)

3. Asanovic, K., Bodik, R., Catanzaro, B.C., Gebis, J.J., Husbands, P., Keutzer, K., Patterson, D.A., Plishker, W.L., Shalf, J., Williams S.W., Yelick, K.A.: The landscape of parallel computing research: a view from Berkeley. In: Technical report No. UCB/EECS-2006-183, EECS Department. University of California, Berkeley (2006)

4. Owens, J.D., Luebke, D., Govindaraju, N., Harris, M., Krüger, J., Lefohn, A.E., Purcell, T.J.: A Survey of general-purpose computation on graphics hardware. Comput. Graph. Forum 26(1), 80–113 (2007)

5. Setoain, J., Prieto, M., Tenllado, C., Tirado, F.: GPU for parallel on-board hyperspectral image processing. Int. J. High Perform. Comput. Appl. 22(4), 424–437 (2008)

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