A unified multiview spectral feature learning framework for hyperspectral image classification Ghent University
Recent progress in spectral classification is dominated by the use of deep learning models. While various learning architectures have been developed, they all extract spectral features from a single-view input. In this article, we investigate a different perspective and develop a unified multiview spectral feature learning framework, which extracts discriminative spectral features from multiple views of inputs. To our knowledge, this is the ...