Feature extraction from multiple data sources using genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@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",
• booktitle = "Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery VIII",
• year = "2002",
• editor = "Sylvia S. Shen and Paul E. Lewis",
• volume = "4725",
• series = "SPIE",
• pages = "338--345",
• month = aug,
• organisation = "SPIE--The International Society for Optical Engineering",
• 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",
• URL = "http://citeseer.ist.psu.edu/540967.html",
• DOI = "doi:10.1117/12.478765",
• 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