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.

Kohei Arai, “Clustering Method Based on Messy Genetic Algorithm: GA for Remote Sensing Satellite Image Classifications” International Journal of Advanced Research in Artificial Intelligence(IJARAI), 1(8), 2012. http://dx.doi.org/10.14569/IJARAI.2012.010802

@article{Arai2012,
title = {Clustering Method Based on Messy Genetic Algorithm: GA for Remote Sensing Satellite Image Classifications},
journal = {International Journal of Advanced Research in Artificial Intelligence},
doi = {10.14569/IJARAI.2012.010802},
url = {http://dx.doi.org/10.14569/IJARAI.2012.010802},
year = {2012},
publisher = {The Science and Information Organization},
volume = {1},
number = {8},
author = {Kohei Arai}
}