International Journal of Fuzzy Logic and Intelligent Systems

Korean Institute of Intelligent Systems (한국지능시스템학회)
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Integrated GUI Environment of Parallel Fuzzy Inference System for Pattern Classification of Remote Sensing Images

  • Lee, Seong-Hoon (Division of Computer Engineering, Science, Chonan University, Choongnam) ;
  • Lee, Sang-Gu (Department of Computer Engineering, Hannam University 113 Ojung-Dong, Daejon 306-791) ;
  • Son, Ki-Sung (Department of Computer Engineering, Hannam University 113 Ojung-Dong, Daejon 306-791) ;
  • Kim, Jong-Hyuk (Department of Computer Engineering, Hannam University 113 Ojung-Dong, Daejon 306-791) ;
  • Lee, Byung-Kwon (Department of Computer Engineering, Hannam University 113 Ojung-Dong, Daejon 306-791)
  • Published : 2002.06.01
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Abstract

In this paper, we propose an integrated GUI environment of parallel fuzzy inference system fur pattern classification of remote sensing data. In this, as 4 fuzzy variables in condition part and 104 fuzzy rules are used, a real time and parallel approach is required. For frost fuzzy computation, we use the scan line conversion algorithm to convert lines of each fuzzy linguistic term to the closest integer pixels. We design 4 fuzzy processor unit to be operated in parallel by using FPGA. As a GUI environment, PCI transmission, image data pre-processing, integer pixel mapping and fuzzy membership tuning are considered. This system can be used in a pattern classification system requiring a rapid inference time in a real-time.

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References

  1. M. M. Hadhoud, 'Multichannel Adaptive Filter for Remote Sensing Multi-spectral Images,' ICECS'98, pp. 1214-1222, Dec. 1998
  2. R. Kruse, J.Gebhardt and F. Klawonn, Foundation of Fuzzy Systems, Wiley, 1996
  3. F. S. Hill, JR., Computer Graphics, 2nd ed., Prentice Hall, 2001
  4. M. J. Patyra and et al., 'Hardware implementations of digital fuzzy logic controllers,' Information Sciences, Vol. 113, pp. 19-54, 1999 https://doi.org/10.1016/S0020-0255(98)10040-3
  5. G. Ascia et al., 'VLSI Hardware Architecture for Complex Fuzzy Systems,' IEEE Tr. on Fuzzy Systems, Vol. 7, No. 5, pp. 553-570, Oct. 1999 https://doi.org/10.1109/91.797979
  6. J. J. Blake et al., 'The implementation of fuzzy system, neural networks and fuzzy neural network using FPGAs,' Information Sciences, Vol. 112, pp. 151-168, 1998 https://doi.org/10.1016/S0020-0255(98)10029-4
  7. PCI 9050-1 Data Book, PLX technology, 1998