1. Exploiting spectral and spatial information in hyperspectral urban data with high resolution;Acqua;IEEE Geoscience and Remote Sensing Letters,2004
2. Exploiting manifold geometry in hyperspectral imagery;Bachmann;IEEE Transactions on Geoscience and Remote Sensing,2005
3. A Neural network for unsupervised categorization of multivalued input patterns: an application to satellite image clustering;Baraldi;IEEE Transactions on Geoscience and Remote Sensing,1995
4. Classification of hyperspectral data from urban areas based on extended morphological profiles;Benediktsson;IEEE Transactions on Geoscience and Remote Sensing,2005
5. Bengio, Y., Paiement, J.-F., Vincent, P., Delalleau, O., Roux, N.L., Ouimet, M., 2004. Out-of-sample extensions for LLE, Isomap, MDS, Eigenmaps, and spectral clustering. In: Advances in Neural Information Processing Systems, Vancouver, Canada, 13–18 December, pp. 177–184.