Target detection in SAR imagery by genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4549

  author =       "Daniel Howard and Simon C. Roberts and 
                 Richard Brankin",
  title =        "Target detection in SAR imagery by genetic
  journal =      "Advances in Engineering Software",
  volume =       "30",
  pages =        "303--311",
  year =         "1999",
  number =       "5",
  month =        may,
  keywords =     "genetic algorithms, genetic programming",
  ISSN =         "0965-9978",
  DOI =          "doi:10.1016/S0965-9978(98)00093-3",
  URL =          "",
  abstract =     "The automatic detection of ships in low-resolution
                 synthetic aperture radar (SAR) imagery is investigated
                 in this article. The detector design objectives are to
                 maximise detection accuracy across multiple images, to
                 minimise the computational effort during image
                 processing, and to minimise the effort during the
                 design stage. The results of an extensive numerical
                 study show that a novel approach, using genetic
                 programming (GP), successfully evolves detectors which
                 satisfy the earlier objectives. Each detector
                 represents an algebraic formula and thus the principles
                 of detection can be discovered and reused. This is a
                 major advantage over artificial intelligence techniques
                 which use more complicated representations, e.g. neural

Genetic Programming entries for Daniel Howard Simon C Roberts Richard Brankin