The University of Arizona

Using Genetic Algorithms to Analyze Multi-Spectral Imagery

Using Genetic Algorithms to Analyze Multi-Spectral Imagery

Series: Program in Applied Mathematics Brown Bag Seminar
Location: Math 402
Presenter: Andre Lehovich, Program in Applied Mathematics, University of Arizona

Invented in the 60's to model natural selection, genetic algorithms have more recently become popular in the artificial intelligence community as an optimization technique. A multi-spectral imaging sensor simultaneously scans the target at multiple wavelengths. (The jargon-challenged sometimes refer to the resulting data as a color picture.) We will discuss how one can use genetic algorithms to convert multi-spectral images from the Landsat satellite into land-cover maps.

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