Author/Editor		Debeir, Olivier; Latinne, Patrice; van den Steen, Isabelle
Title		Remote sensing classification of spectral, spatial and contextual data using multiple classifier systems
Type		članek
Source		Image Anal Stereol
Vol. and No.		Letnik 20, št. Suppl 1
Publication year		2001
Volume		str. 584-9
Language		eng
Abstract		This study promotes the use of a multiclassifier system (MCS) fed with high-resolution remote sensing data coupled with contextual and textural data in the domain of land cover and land use classification. The gain of this approach is shown by a favorable comparison of our BAGFS classifier (a mixture of bagging and feature subset classifier) over two single classifier techniques (5-NN and C4.5 decision tree). The map chosen for the comparison is extracted from LANDSAT Tliematic Mapper data restricted on a Belgian area with a varied landscape and a 11 land cover legend.
Descriptors		SPACECRAFT URBANIZATION IMAGE PROCESSING, COMPUTER-ASSISTED DECISION TREES