Parallel evolution of image processing tools for multispectral imagery

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@InProceedings{Harvey:2000:SPIE,

• 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, ALADDIN",
• URL = "http://public.lanl.gov/jt/Papers/harveySPIE4132.ps.gz",
• 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

Citations