Urban mapping using coarse SAR and optical data: outcome of the 2007 GRSS data fusion contest

Fabio Pacifici (1) , Fabio del Frate (1) , William J. Emery (2) , Paolo Gamba (3) , Jocelyn Chanussot (4)

1 Department of Computer Science, Systems, and Production
2 Department of Aerospace Engineering Sciences
3 UNIPV - Università degli Studi di Pavia = University of Pavia
4 GIPSA-SIGMAPHY - GIPSA - Signal Images Physique

The 2007 Data Fusion Contest that was organized by the IEEE Geoscience and Remote Sensing Data Fusion Technical Committee was dealing with the extraction of a land use/land cover maps in and around an urban area, exploiting multitemporal and multisource coarse-resolution data sets. In particular, synthetic aperture radar and optical data from satellite sensors were considered. Excellent indicators for mapping accuracy were obtained by the top teams. The best algorithm is based on a neural classification enhanced by preprocessing and postprocessing steps.

Domaines: Traitement des images [eess.IV]; Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Fabio Pacifici, Fabio del Frate, William J. Emery, Paolo Gamba, Jocelyn Chanussot. Urban mapping using coarse SAR and optical data: outcome of the 2007 GRSS data fusion contest. IEEE Geoscience and Remote Sensing Letters, 2008, 5 (3), pp.331-335. ⟨10.1109/LGRS.2008.915939⟩. ⟨hal-00348851⟩