Spectrum Distribution of Landuse Classification by Genetic Algorithm

Abstract:

Genetic Algorithm (GA) is designed to reach the optimal solution via weeding out the worse gene strings based on the fitness function. Thus, more appropriate ones can be found and evaluated through such operation over and over until the optimal solution is researched. GA had been demonstrated the effectiveness in solving the problems of unsupervised image classification, one of the optimization problems of large domain. Two indices DBI and FCMI are analyzed for the cluster centers of spectrum in this paper. To evaluate the consentience between the GA classification and the ground truth in the spectrum distribution of landuse, a SPOT-5 satellite image of Shihmem reservoir is adopted for demonstration.

• Periodical: Applied Mechanics and Materials (Volumes 411-414)
• Pages: 1251-1255
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.411-414.1251
• Online since: September 2013
• Authors: Ming Der Yang, Yeh Fen Yang, Kai Siang Huang
• Keywords: Fitness Function, Genetic Algorithm (GA), Unsupervised Classification

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