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This paper proposes a method of dimensionality reduction and classification based on ant colony algorithm for hyperspectral remote sensing image. The high-dimensional hyperspectral data space is decomposed into several low-dimensional data subspace by ant colony algorithm (ACA) in terms of the correlation between bands. Then principal component analysis is used in subspace to extract features, whereafter...
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