Finding Golf Courses: The Ultra High Tech Approach. Harvey, N. R., Perkins, S., Brumby, S. P., Theiler, J., Porter, R. B., Young, Cody, A., Varghese, A. K., Szymanski, J. J., & Bloch, J. J. In Cagnoni, S., Poli, R., Li, Y., Smith, G., Corne, D., Oates, M. J., Hart, E., Lanzi, Luca, P., Boers, E. J.<nbsp>W., Paechter, B., & Fogarty, T. C., editors, Real-World Applications of Evolutionary Computing, volume 1803, of LNCS, pages 54--64, Edinburgh, 17 April, 2000. Springer-Verlag. Paper abstract bibtex The search for a suitable golf course is a very important issue in the travel plans of any modern manager. Modern management is also infamous for its penchant for high-tech gadgetry. Here we combine these two facets of modern management life. We aim to provide the cutting edge manager with a method of finding golf courses from space! In this paper, we present Genie: a hybrid evolutionary algorithm-based system that tackles the general problem of finding features of interest in multi-spectral remotely-sensed images, including, but not limited to, golf courses. Using this system we are able to successfully locate golf courses in 10-channel satellite images of several desirable US locations.
@inproceedings{ conf/evoW/HarveyPBTPYVSB00,
abstract = {The search for a suitable golf course is a very
important issue in the travel plans of any modern
manager. Modern management is also infamous for its
penchant for high-tech gadgetry. Here we combine these
two facets of modern management life. We aim to provide
the cutting edge manager with a method of finding golf
courses from space! In this paper, we present Genie: a
hybrid evolutionary algorithm-based system that tackles
the general problem of finding features of interest in
multi-spectral remotely-sensed images, including, but
not limited to, golf courses. Using this system we are
able to successfully locate golf courses in 10-channel
satellite images of several desirable US locations.},
added-at = {2008-06-19T17:35:00.000+0200},
address = {Edinburgh},
author = {Harvey, Neal R. and Perkins, Simon and Brumby, Steven P. and Theiler, James and Porter, Reid B. and Young, A. Cody and Varghese, Anil K. and Szymanski, John J. and Bloch, Jeffrey J.},
bibdate = {2002-01-03},
bibsource = {DBLP,
http://dblp.uni-trier.de/db/conf/evoW/evoW2000.html#HarveyPBTPYVSB00},
biburl = {http://www.bibsonomy.org/bibtex/23ed7848b51873d312336a291440a34b9/brazovayeye},
booktitle = {Real-World Applications of Evolutionary Computing},
editor = {Cagnoni, Stefano and Poli, Riccardo and Li, Yun and Smith, George and Corne, David and Oates, Martin J. and Hart, Emma and Lanzi, Pier Luca and Boers, Egbert J. W. and Paechter, Ben and Fogarty, Terence C.},
interhash = {0299d3d0f0843b765b455cf4ca87841b},
intrahash = {3ed7848b51873d312336a291440a34b9},
isbn = {3-540-67353-9},
keywords = {algorithms, genetic programming},
month = {17 April},
notes = {EvoWorkshops 2000: EvoIASP, EvoSCONDI, EvoTel,
EvoSTIM, EvoRob, and EvoFlight, Edinburgh, Scotland,
UK, April 17, 2000 Proceedings},
organisation = {EvoNet},
pages = {54--64},
publisher = {Springer-Verlag},
publisher_address = {Berlin},
series = {LNCS},
size = {12 pages},
title = {Finding Golf Courses: The Ultra High Tech Approach},
url = {http://www.genie.lanl.gov/green/publications/harveyEvoIASP2000.pdf},
volume = {1803},
year = {2000}
}
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Here we combine these\n two facets of modern management life. We aim to provide\n the cutting edge manager with a method of finding golf\n courses from space! In this paper, we present Genie: a\n hybrid evolutionary algorithm-based system that tackles\n the general problem of finding features of interest in\n multi-spectral remotely-sensed images, including, but\n not limited to, golf courses. Using this system we are\n able to successfully locate golf courses in 10-channel\n satellite images of several desirable US locations.},\n added-at = {2008-06-19T17:35:00.000+0200},\n address = {Edinburgh},\n author = {Harvey, Neal R. and Perkins, Simon and Brumby, Steven P. and Theiler, James and Porter, Reid B. and Young, A. 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