A genetic algorithm for combining new and existing image processing tools for multispectral imagery
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InProceedings{Brumby:2000:SPIE,
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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",
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title = "A genetic algorithm for combining new and existing
image processing tools for multispectral imagery",
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booktitle = "Algorithms for Multispectral, Hyperspectral, and
Ultraspectral Imagery VI. Proceedings of SPIE",
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year = "2000",
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editor = "Sylvia S. Shen and Michael R. Descour",
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volume = "4049",
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pages = "480--490",
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keywords = "genetic algorithms, genetic programming, Evolutionary
Computation, Image Processing, Remote Sensing,
Multispectral Imagery, Hyperspectral Imagery",
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URL = "http://spiedigitallibrary.org/data/Conferences/SPIEP/35048/480_1.pdf",
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DOI = "doi:10.1117/12.410371",
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size = "11 pages",
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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.",
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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
Citations