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- W2351897665 abstract "Particle Swarm Optimization(PSO) is a stochastic global optimization technique based on swarm intelligence. This paper introduces aerial image texture classification. The particles in the swarm are constructed and swarm search strategies are proposed in terms of the needs of classification application after many texture features such as wavelet features and factual features extracted from texture samples. The classification method as PSO is implemented. Compared with the texture classification method based on Genetic Algorithms(GA), PSO has better search ability and the classification method based on it has higher classification accuracy and needs less computation time in the experiment." @default.
- W2351897665 created "2016-06-24" @default.
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- W2351897665 date "2008-01-01" @default.
- W2351897665 modified "2023-09-24" @default.
- W2351897665 title "Aerial Image Texture Classification Based on Particle Swarm Optimization" @default.
- W2351897665 hasPublicationYear "2008" @default.
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