A genetic algorithm for combining new and existing image processing tools for multispectral imagery

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

  author =       "Steven P. Brumby and Neal R. Harvey and 
                 Simon Perkins and Reid B. Porter and John J. Szymanski and 
                 James Theiler and Jeffrey J. Bloch",
  title =        "A genetic algorithm for combining new and existing
                 image processing tools for multispectral imagery",
  booktitle =    "Algorithms for Multispectral, Hyperspectral, and
                 Ultraspectral Imagery VI. Proceedings of SPIE",
  year =         "2000",
  editor =       "Sylvia S. Shen and Michael R. Descour",
  volume =       "4049",
  pages =        "480--490",
  keywords =     "genetic algorithms, genetic programming, Evolutionary
                 Computation, Image Processing, Remote Sensing,
                 Multispectral Imagery, Hyperspectral Imagery",
  URL =          "http://spiedigitallibrary.org/data/Conferences/SPIEP/35048/480_1.pdf",
  DOI =          "doi:10.1117/12.410371",
  size =         "11 pages",
  abstract =     "We describe the implementation and performance of a
                 genetic algorithm (GA) which evolves and combines image
                 processing tools for multispectral imagery (MSI)
                 datasets. Existing algorithms for particular features
                 can also be 're-tuned' and combined with the newly
                 evolved image processing tools to rapidly produce
                 customised feature extraction tools. First results from
                 our software system were presented previously. We now
                 report on work extending our system to look for a range
                 of broad-area features in MSI datasets. These features
                 demand an integrated spatiospectral approach, which our
                 system is designed to use. We describe our chromosomal
                 representation of candidate image processing
                 algorithms, and discuss our set of image operators. Our
                 application has been geospatial feature extraction
                 using publicly available MSI and hyperspectral imagery
                 (HSI). We demonstrate our system on NASA/Jet Propulsion
                 Laboratory's Airborne Visible and Infrared Imaging
                 Spectrometer (AVIRIS) HSI which has been processed to
                 simulate MSI data from the Department of Energy's
                 Multispectral Thermal Imager (MTI) instrument. We
                 exhibit some of our evolved algorithms, and discuss
                 their operation and performance.",
  notes =        "Space and Remote Sensing Sciences, Los Alamos National
                 Laboratory, Mail Stop D436, Los Alamos, New Mexico
                 87545, U.S.A.",

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