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Recently, classifier fusion has shown great potential to increase classification accuracy beyond the level reached by individual classifiers. In this work, we design a strategy to fuse several classifiers aim to improve the land cover classification accuracy effectively. Use the multi-spectral remote sensing image of HJ-1B CCD as the data source, the correlations of different raster bands are analyzed...
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