Subspace learning-based one-class classifiers are applied to hyperspectral image data for land use classification to jointly address high dimensionality and label imbalance.
Nonlinear projection trick in kernel methods: An alternative to the kernel trick
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Hyperspectral Image Analysis with Subspace Learning-based One-Class Classification
Subspace learning-based one-class classifiers are applied to hyperspectral image data for land use classification to jointly address high dimensionality and label imbalance.