Decision fusion for the classification of hyperspectral data: Outcome of the 2008 GRS-S Data Fusion Contest

Giorgio Licciardi (1) , Fabio Pacifici (1) , Davis Tuia (2) , Saurabh Prasad (3) , Terrance West (3) , Ferdinando Giacco (4) , Christian Thiel (5) , Jordi Inglada (6) , Emmanuel Christophe (7) , Jocelyn Chanussot (8) , Paolo Gamba (9)

1 Università degli Studi di Roma Tor Vergata [Roma] = University of Rome Tor Vergata
2 UNIL - Université de Lausanne = University of Lausanne
3 Mississippi State University [Mississippi]
4 UNISA - Università degli Studi di Salerno = University of Salerno
5 UUlm - University of Ulm
6 CNES - Centre National d'Études Spatiales [Toulouse]
7 NUS - National University of Singapore
8 GIPSA-SIGMAPHY - GIPSA - Signal Images Physique
9 UNIPV - Università degli Studi di Pavia = University of Pavia

The 2008 Data Fusion Contest organized by the IEEE Geoscience and Remote Sensing Data Fusion Technical Committee deals with the classification of high-resolution hyperspectral data from an urban area. Unlike in the previous issues of the contest, the goal was not only to identify the best algorithm but also to provide a collaborative effort: The decision fusion of the best individual algorithms was aiming at further improving the classification performances, and the best algorithms were ranked according to their relative contribution to the decision fusion. This paper presents the five awarded algorithms and the conclusions of the contest, stressing the importance of decision fusion, dimension reduction, and supervised classification methods, such as neural networks and support vector machines.

Domaines: Traitement des images [eess.IV]

Giorgio Licciardi, Fabio Pacifici, Davis Tuia, Saurabh Prasad, Terrance West, et al.. Decision fusion for the classification of hyperspectral data: Outcome of the 2008 GRS-S Data Fusion Contest. IEEE Transactions on Geoscience and Remote Sensing, 2009, 47 (11), pp.3857-3865. ⟨10.1109/TGRS.2009.2029340⟩. ⟨hal-00449440⟩