Multiple classifiers applied to multisource remote sensing data
The combination of multisource remote sensing and geographic data is believed to offer improved accuracies in land cover classification. For such classification, the conventiona...
The combination of multisource remote sensing and geographic data is believed to offer improved accuracies in land cover classification. For such classification, the conventiona...
In this letter, we explore the use of self-dual attribute profiles (SDAPs) for the classification of hyperspectral images. \nThe hyperspectral data are reduced into a set of...
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