Parallel evolution of image processing tools for multispectral imagery
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- @InProceedings{Harvey:2000:SPIE,
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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",
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title = "Parallel evolution of image processing tools for
multispectral imagery",
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booktitle = "Imaging Spectrometry VI, Procceedings of SPIE",
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year = "2000",
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editor = "Michael R. Descour and Sylvia S. Shen",
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volume = "4132",
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pages = "72--82",
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organisation = "SPIE",
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keywords = "genetic algorithms, genetic programming, GENIE,
ALADDIN",
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URL = "http://public.lanl.gov/jt/Papers/harveySPIE4132.ps.gz",
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DOI = "doi:10.1117/12.406611",
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size = "11 pages",
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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