Remote Sensing Classification of Spectral, Spatial and Contextual Data Using Multiple Classifier Systems
نویسندگان
چکیده
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 Thematic Mapper data restricted on a Belgian area with a varied landscape and a 11 land cover legend.
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