In this paper, we propose the inclusion of a pre-processing step in the processing chain, based on the group lasso, which has the goal of selecting groups of ...

Recently, signal unmixing was proposed in remote sensing with the goal to infer physical parameters of materials of in-terest, such as vegetation, ...

In this paper, we propose the inclusion of a pre-processing step in the processing chain, based on the group lasso, which has the goal of selecting groups of ...

IMPROVED SIGNAL UNMIXING OF VEGETATION USING SPARSE GROUP SELECTION. 2013 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS); 2013; pp ...

Improved signal unmixing of vegetation using sparse group selection. 2013 IEEE International Geoscience and Remote Sensing Symposium-IGARSS. 2013 | Conference ...

In this paper, we propose a dictionary pruning technique for signal unmixing, which is a recent unmixing concept aimed at extracting the signal contribution.

The potential of the sparse group lasso technique in solving hyperspectral unmixing problems, when the spectral signatures appear in groups, ...

Title: IMPROVED SIGNAL UNMIXING OF VEGETATION USING SPARSE GROUP SELECTION ; Authors: Marian-Daniel Iordache; Flemish Institute for Technological Research.

This study tests the performance of spectral mixture analysis (SMA) and multiple endmember spectral mixture analysis (MESMA) for estimation of green ...

Spectral unmixing experiments were done to explore the ap- plicability of linear unmixing models, especially the basic least-squares method for mapping sparse ...