Evaluation of oak wilt index based on genetic programming

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

  author =       "Kuniaki Uto and Yukio Kosugi and Toshinari Ogatay",
  title =        "Evaluation of oak wilt index based on genetic
  booktitle =    "First Workshop on Hyperspectral Image and Signal
                 Processing: Evolution in Remote Sensing, WHISPERS '09",
  year =         "2009",
  month =        aug,
  pages =        "1--4",
  keywords =     "genetic algorithms, genetic programming, binary
                 operations, extraction performance, normalized oak wilt
                 index, physically interpretable index, plant
                 physiology, remotely sensed hyperspectral image, tree
                 construction, image processing, vegetation mapping",
  DOI =          "doi:10.1109/WHISPERS.2009.5289107",
  abstract =     "We proposed a normalized oak wilt index (NWI) to
                 extract oak wilt area from remotely sensed
                 hyperspectral image of forest in our previous work. The
                 NWI, which is designed based on factitious
                 characterization of spectral profiles of oak wilt,
                 realised satisfactory extraction performance. In this
                 paper, we propose a genetic-programming-based search
                 method for physically interpretable index. The search
                 procedure consists of two stages, i.e. extraction for
                 significant binary operations and tree construction, in
                 expectation of dealing with more subtle problem, e.g.
                 estimation of quantities of ingredients of vegetation.
                 The selected binary operations are consistent with
                 plant physiology. The extraction performance of
                 proposed method based on fewer binary operations stands
                 comparison with NWI's performance.",
  notes =        "Also known as \cite{5289107}",

Genetic Programming entries for Kuniaki Uto Yukio Kosugi Toshinari Ogatay