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Pixel classification using variable string genetic algorithms with chromosome differentiation
2001
IEEE Transactions on Geoscience and Remote Sensing
The concept of chromosome differentiation, commonly witnessed in nature as male and female sexes, is incorporated in genetic algorithms with variable length strings for designing a nonparametric classification methodology. Its significance in partitioning different landcover regions from satellite images, having complex/overlapping class boundaries, is demonstrated. The classifier is able to evolve automatically the appropriate number of hyperplanes efficiently for modeling any kind of class
doi:10.1109/36.905238
fatcat:3vviecqqbzaavntk3enxzha7b4