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Cost-based feature selection for GIS-embedded data fusion

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2 Author(s)
P. C. Smits ; Sci. Applications Inst., Joint Res. Centre, Ispra, Italy ; A. Annoni

A powerful way of using existing information has been presented by Smits and Annoni (1999), who focus on a cost-based feature subset selection in the framework of the (interactive) verification and updating of land-cover maps with imagery from different space-borne sensors. Each feature comes with its own cost, and the user specifies a “budget” which the final feature vector may not exceed. As feature subset selection constitutes an important aspect of data fusion in general, this paper exploits further the concept of cost-based feature selection. The novelty is that the feature subset selection itself is also subject to a (computation) cost

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Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International  (Volume:6 )

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