Parallel evolution of image processing tools for multispectral imagery

Created by W.Langdon from gp-bibliography.bib Revision:1.4333

  author =       "N. R. Harvey and S. P. Brumby and S. J. Perkins and 
                 R. B. Porter and J. Theiler and A. C. Young and 
                 J. J. Szymanski and J. J. Bloch",
  title =        "Parallel evolution of image processing tools for
                 multispectral imagery",
  booktitle =    "Imaging Spectrometry VI, Procceedings of SPIE",
  year =         "2000",
  editor =       "Michael R. Descour and Sylvia S. Shen",
  volume =       "4132",
  pages =        "72--82",
  organisation = "SPIE",
  keywords =     "genetic algorithms, genetic programming, GENIE,
  URL =          "",
  DOI =          "doi:10.1117/12.406611",
  size =         "11 pages",
  abstract =     "We describe the implementation and performance of a
                 parallel, hybrid evolutionary-algorithm based system,
                 which optimises image processing tools for
                 feature-finding tasks in multi-spectral imagery (MSI)
                 data sets. Our system uses an integrated
                 spatio-spectral approach and is capable of combining
                 suitably-registered data from different sensors. We
                 investigate the speed-up obtained by parallelisation of
                 the evolutionary process via multiple processors (a
                 workstation cluster) and develop a model for prediction
                 of run-times for different numbers of processors. We
                 demonstrate our system on Landsat Thematic Mapper MSI,
                 covering the recent Cerro Grande fire at Los Alamos,
                 NM, USA.",

Genetic Programming entries for Neal R Harvey Steven P Brumby Simon Perkins Reid B Porter James Theiler A Cody Young John J Szymanski Jeffrey J Bloch