Multiclass feature learning for hyperspectral image classification: sparse and hierarchical solutions


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 their parameters using expert knowledge, we let the model find them within random draws in the (possibly infinite) space of possible filters. We define an active set feature… (More)
DOI: 10.1016/j.isprsjprs.2015.01.006

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