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Big Earth Data Volume 2, 2018 - Issue 2
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Research Articles

Parallelizing maximum likelihood classification (MLC) for supervised image classification by pipelined thread approach through high-level synthesis (HLS) on FPGA cluster

Sen MaMicron Technology, Inc., Seattle, WA, USAView further author information
,
Xuan ShiDepartment of Geosciences, University of Arkansas, Fayetteville, AR, USACorrespondence[email protected]
View further author information
&
David AndrewsDepartment of CSCE, University of Arkansas, Fayetteville, AR, USAView further author information
Pages 144-158 | Received 02 Apr 2018, Accepted 20 Apr 2018, Published online: 29 May 2018

References

  • Boschetti, M., Boschetti, L., Oliveri, S., Casati, L., & Canova, I. (2007). Tree species mapping with airborne hyper-spectral MIVIS data: The Ticino Park study case. International Journal of Remote Sensing, 28(6), 1251–1261.
  • Buddenbaum, H., Schlerf, M., & Hill, J. (2005). Classification of coniferous tree species and age classes using hyperspectral data and geostatistical methods. International Journal of Remote Sensing, 26(24), 5453–5465.
  • Clark, M. L., Roberts, D. A., & Clark, D. B. (2005). Hyperspectral discrimination of tropical rain forest tree species at leaf to crown scales. Remote Sensing of Environment, 96(3), 375–398.
  • George, N., Lee, H., Novo, D., Rompf, T., Brown, K., Sujeeth, A., … Ienne, P. 2014. Hardware system synthesis from domain-specific languages. In Proceedings of 2014 24th International Conference on Field Programmable Logic and Applications (FPL) (pp. 1–8).
  • Greenberg, J., Dobrowski, S., & Vanderbilt, V. (2009). Limitations on maximum tree density using HSR remote sensing and environmental gradient analysis. Remote Sensing of Environment, 113, 94–101.
  • Guan, Q., Shi, X., Huang, M., & Lai, C. (2016). A hybrid parallel cellular automata model for urban growth simulation over GPU/CPU heterogeneous architectures. International Journal of Geographical Information Science, 30(3), 494–514.
  • Ma, S., Aklah, Z., & Andrews, D. 2016. Just in time assembly of accelerators. In Proceedings of the 2016 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (pp. 173–178). New York, NY USA: ACM 2016.
  • Ma, S., Andrews, D., Gao, S., & Cummins, J. 2016. Breeze computing: A just in time (JIT) approach for virtualizing FPGAs in the cloud. In Proceedings of the 2016 International Conference on ReConFigurable Computing and FPGAs (ReConFig) (pp. 1–6). Cancun, Mexico. doi: 10.1109/ReConFig.2016.7857159
  • Martin, M., Newman, S., Aber, J., & Congalton, R. (1998). Determining forest species composition using high spectral resolution remote sensing data. Remote Sensing of Environment, 65(3), 249–254.
  • Richards, J. A., & Jia, X. (1999). Remote sensing digital image analysis (Vol. 3). Berlin Heidelberg: Springer. doi:10.1007/978-3-662-03978-6
  • Shi, X., Huang, M., You, H., Lai, C., & Chen, Z. (2014a). Unsupervised image classification over supercomputers Kraken, Keeneland and Beacon. GIScience & Remote Sensing, 51(3), 321–338.
  • Shi, X., Lai, C., Huang, M., & You, H. (2014b). Geocomputation over the emerging heterogeneous computing infrastructure. Transactions in GIS, 18(S1), 3–24.
  • Shi, X., & Xue, B. (2017). Parallelizing maximum likelihood classification on computer cluster and graphics processing unit for supervised image classification. International Journal of Digital Earth, 10(7), 737–748.
  • Sridharan, H., & Qiu, F. (2013). Developing an object-based HSR image classifier with a case study using worldview-2 data. Photogrammetric Engineering & Remote Sensing, 79(11), 1027–1036.
  • Thenkabail, P. S., Enclona, E. A., Ashton, M. S., Legg, C., & De Dieu, M. J. (2004). Hyperion, IKONOS, ALI, and ETM+ sensors in the study of African rainforests. Remote Sensing of Environment, 90(1), 23–43.
  • Xiao, Q., Ustin, S., & McPherson, E. (2004). Using AVIRIS data and multiple-masking techniques to map urban forest tree species. International Journal of Remote Sensing, 25(24), 5637–5654.
  • Xilinx. 2017. UG902 Vivado Design Suite User Guide: High-Level Synthesis. Retrieved 18 April 2018 from https://www.xilinx.com/support/documentation/sw_manuals/xilinx2017_1/ug902-vivado-high-level-synthesis.pdf

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