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In this letter, we propose an improved locally linear embedding (LLE) method based on robust spatial information (named RSLLE) for hyperspectral data dimensionality reduction. It explores and takes full account of the complexity of the spatial information for LLE. In RSLLE, when searching for spectral neighbors, a kind of spectral–spatial distance is used instead of the distance between two individual...
In order to improve the generalization performance of support vector machine (SVM), a support vector machine ensembling method based on independent component analysis (ICA) and fuzzy kernel clustering (FKC) was proposed. The ICA emphasizes the independence between the data characteristics and can effectively obtain a series of independent features, the performance of single SVM can be improved when...
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