TOR VERGATA EARTH OBSERVATION LABORATORY RESEARCH ON
URBAN AREAS: CLASSIFICATION
Buildings extraction from very high resolution SAR images using Pulse Coupled Neural Network
Pulse-Coupled Neural Network for automatic feature extraction from COSMO-SkyMed and TerraSAR-X imagery
Satellite image classification at Tor Vergata Earth Observation Laboratory
Use of Neural Networks for Automatic Classification of SAR Imagery
Urban land cover classification potential of high and very-high resolution SAR imagery
A comparative analysis of Kernel-based methods for the classification of land cover maps in satellite imagery
A user-friendly automatic tool for image classification based on neural networks
 
TEO LAB PUBLICATIONS
M. Chini, F. Pacifici, W.J. Emery, "TerraSAR-X multi-scale textural analysis for urban classification", IGARSS'08, Boston, MA, U.S.A., Jul. 2008.
M. Chini, F. Pacifici, W.J. Emery, "Urban land-use multi-scale textural analysis", IGARSS'08, Boston, MA, U.S.A., Jul. 2008.
C. Solimini, W.J. Emery, D. Solimini, "Wavenumber spectra for VHR urban characterization", IGARSS'08, Boston, MA, U.S.A., Jul. 2008.
F. Pacifici, M. Chini, W.J. Emery, "Urban land-use textural analysis for very high resolution optical imagery", Image Information Mining ESA-EUSC 2008, ESRIN, Frascati, Italy, March 2008.
D. Tuia, F. Ratle, F. Pacifici, A. Pozdnoukhov, M. Kanevski, F. Del Frate, D. Solimini, W. J. Emery, "Entropy-based active learning for very high-resolution imagery", Image Information Mining ESA-EUSC 2008, ESRIN, Frascati, Italy, March 2008.

earth observation laboratory - additional earth observation publications