3.2k citations · 11.3k across the 87 of their papers we have counts for
3 papers · 2 filters
Non-convex regularization in remote sensing
Devis Tuia, Remi Flamary, Michel Barlaud
In this paper, we study the effect of different regularizers and their implications in high dimensional image classification and sparse linear unmixing. Although kernelization or s…
Multiclass feature learning for hyperspectral image classification: sparse and hierarchical solutions
Devis Tuia, Rémi Flamary, Nicolas Courty
In this paper, we tackle the question of discovering an effective set of spatial filters to solve hyperspectral classification problems. Instead of fixing a priori the filters and…
Principal Polynomial Analysis
Valero Laparra, Sandra Jiménez, Devis Tuia +2
This paper presents a new framework for manifold learning based on a sequence of principal polynomials that capture the possibly nonlinear nature of the data. The proposed Principa…