A genetic algorithm for combining new and existing image processing tools for multispectral imagery

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{Brumby:2000:SPIE,

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