Clustering Method Based on Messy Genetic Algorithm: GA for Remote Sensing Satellite Image Classifications
Journal Title: International Journal of Advanced Research in Artificial Intelligence(IJARAI) - Year 2012, Vol 1, Issue 8
Abstract
Clustering method for remote sensing satellite image classification based on Messy Genetic Algorithm: GA is proposed. Through simulation study and experiments with real remote sensing satellite images, the proposed method is validated in comparison to the conventional simple GA. It is also found that the proposed clustering method is useful for preprocessing of the classifications.
Authors and Affiliations
Kohei Arai
Keywords
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