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Toward the Automatic Updating of Land-Cover Maps by a Domain-Adaptation SVM Classifier and a Circular Validation Strategy
2009
IEEE Transactions on Geoscience and Remote Sensing
In this paper, we address automatic updating of land-cover maps by using remote-sensing images periodically acquired over the same investigated area under the hypothesis that a reliable ground truth is not available for all the considered acquisitions. The problem is modeled in the domain-adaptation framework by introducing a novel method designed for land-cover map updating, which is based on a domain-adaptation support vector machine technique. In addition, a novel circular accuracy
doi:10.1109/tgrs.2008.2007741
fatcat:lzreq7dzxvfvnpemwm7st66gci