Feature extraction from multiple data sources using genetic programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InProceedings{szymanski02feature,
-
author = "John J. Szymanski and Steven P. Brumby and
Paul Pope and Damian Eads and Diana Esch-Mosher and
Mark Galassi and Neal R. Harvey and Hersey D. W. McCulloch and
Simon J. Perkins and Reid Porter and James Theiler and
A. Cody Young and Jeffrey J. Bloch and Nancy David",
-
title = "Feature extraction from multiple data sources using
genetic programming",
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booktitle = "Algorithms and Technologies for Multispectral,
Hyperspectral, and Ultraspectral Imagery VIII",
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year = "2002",
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editor = "Sylvia S. Shen and Paul E. Lewis",
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volume = "4725",
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series = "SPIE",
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pages = "338--345",
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month = aug,
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organisation = "SPIE--The International Society for Optical
Engineering",
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keywords = "genetic algorithms, genetic programming, Multispectral
analysis, image processing, evolutionary computation,
feature extractionn",
-
URL = "http://www.cs.rit.edu/~dre9227/papers/szymanskiSPIE4725.pdf",
-
broken = "http://spie.org/scripts/abstract.pl?bibcode=2002SPIE%2e4725%2e%2e338S&db_key=INST&qs=spie&s_type=",
-
broken = "http://citeseer.nj.nec.com/szymanski02feature.html",
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URL = "http://citeseer.ist.psu.edu/540967.html",
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DOI = "doi:10.1117/12.478765",
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size = "8 pages",
-
abstract = "Feature extraction from imagery is an important and
long-standing problem in remote sensing. In this paper,
we report on work using genetic programming to perform
feature extraction simultaneously from multispectral
and digital elevation model (DEM) data. We use the
GENetic Imagery Exploitation (GENIE) software for this
purpose, which produces image-processing software that
inherently combines spatial and spectral processing.
GENIE is particularly useful in exploratory studies of
imagery, such as one often does in combining data from
multiple sources. The user trains the software by
painting the feature of interest with a simple
graphical user interface. GENIE then uses genetic
programming techniques to produce an image-processing
pipeline. Here, we demonstrate evolution of image
processing algorithms that extract a range of land
cover features including towns, wildfire burnscars, and
forest. We use imagery from the DOE/NNSA Multispectral
Thermal Imager (MTI) spacecraft, fused with USGS
1:24000 scale DEM data.",
-
notes = "also appears as oai:CiteSeerPSU:540967 but given
different authors!",
- }
Genetic Programming entries for
John J Szymanski
Steven P Brumby
Paul Pope
Damian Eads
Diana Esch-Mosher
Mark Galassi
Neal R Harvey
Hersey D W McCulloch
Simon Perkins
Reid B Porter
James Theiler
A Cody Young
Jeffrey J Bloch
Nancy David
Citations