Finding Golf Courses: The Ultra High Tech Approach

Authors:
Neal R. Harvey;Simon Perkins;Steven P. Brumby;James Theiler;Reid B. Porter;A. Cody Young;Anil K. Varghese;John J. Szymanski;Jeffrey J. Bloch
Affiliations:
-;-;-;-;-;-;-;-;-
Venue:
Real-World Applications of Evolutionary Computing, EvoWorkshops 2000: EvoIASP, EvoSCONDI, EvoTel, EvoSTIM, EvoROB, and EvoFlight
Year:
2000

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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.