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Remote Sensing Textual Image Classification based on Ensemble Learning
2016
International Journal of Image Graphics and Signal Processing
Remote sensing textual image classification technology has been the hottest topic in the filed of remote sensing. Texture is the most helpful symbol for image classification. In common, there are complex terrain types and multiple texture features are extracted for classification, in addition; there is noise in the remote sensing images and the single classifier is hard to obtain the optimal classification results. Integration of multiple classifiers is able to make good use of the
doi:10.5815/ijigsp.2016.12.03
fatcat:axda2atyivdp5krwjutbrpahdi