Exponential Discriminative Locality Alignment for Hyperspectral Image Classification.

Metric learning algorithms have been widely applied for hyperspectral image (HSI) dimensionality reduction and classification. One of the metric learning algorithms proposed recently is discriminative locality alignment (DLA). The DLA attacks the distribution nonlinearity of samples, and preserves the discriminative ability. However, the DLA needs to manually adjust a parameter called scaling fact...