Christian Germain

Classification of hyperspectral data with ensemble of subspace ICA and edge-preserving filtering

Conventional feature extraction methods cannot fully exploit both the spectral and spatial information of hyperspectral imagery. In this paper, we propose an ensemble method of subspace independent component analysis (ICA) and edge-preserving filtering (EPF) for the classification of hyper-spectral…