robust classification

A robust dynamic classifier selection approach for hyperspectral images with imprecise label information

Robust joint sparsity model for hyperspectral image classification

Sparsity-based classification methods have been widely used in hyperspectral image (HSI) classification. These methods typically assumed Gaussian noise, neglecting the fact that HSIs are often corrupted by different types of noise in practice. In …