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A data-fusion approach to partially supervised classification

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2 Author(s)
D. F. Prieto ; Earth Obs. Applications Dept., Eur. Space Agency, Frascati, Italy ; O. Arino

Considers the problem of partially supervised classification under a data-fusion perspective. The objective is to map one class (or only few classes) of interest in multisensor remote-sensing data by using exclusively training samples belonging to such class (or classes). The proposed methodology is based on a combined use of a radial basis function (RBF)-like network and a Markov random field (MRF) approach

Published in:

Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International  (Volume:2 )

Date of Conference:

2001