Title :
Decision Fusion for the Classification of Hyperspectral Data: Outcome of the 2008 GRS-S Data Fusion Contest
Author :
Licciardi, G. ; Pacifici, F. ; Tuia, D. ; Prasad, S. ; West, T. ; Giacco, F. ; Thiel, C. ; Inglada, J. ; Christophe, E. ; Chanussot, J. ; Gamba, P.
Author_Institution :
Earth Obs. Lab., Tor Vergata Univ., Rome, Italy
Abstract :
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.
Keywords :
data reduction; decision support systems; geophysical signal processing; image classification; image fusion; neural nets; support vector machines; 2008 GRS-S Data Fusion Contest; IEEE Geoscience and Remote Sensing Data Fusion Technical Committee; decision fusion; dimension reduction; neural networks; supervised classification methods; support vector machines; urban area hyperspectral data classification; Collaboration; Geoscience and remote sensing; Hyperspectral imaging; Hyperspectral sensors; Laser radar; Neural networks; Optical imaging; Optical sensors; Support vector machines; Urban areas; Classification; decision fusion; hyperspectral imagery;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
DOI :
10.1109/TGRS.2009.2029340
