Support Vector Machine Active Learning Through Significance Space Construction

Abstract

Active learning is showing to be a useful approach to improve the efficiency of the classification process for remote sensing images. This letter introduces a new active learning strategy specifically developed for support vector machine (SVM) classification. It relies on the idea of the following: 1) reformulating the original classification problem into a… (More)
DOI: 10.1109/LGRS.2010.2083630

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