Abstract:The Support Vector Data Description (SVDD) method for anomaly detection in hyperspectral imagery solved the problem of large numbers of false alarm in general detection methods based on statistical theory due to the Gaussian and homogeneous assumptions of background, but the background samples are selected randomly in SVDD. The active learning provides an effective sample selection method, therefore this paper presents Active Learning Support Vector Data Description (ALSVDD) method which is used to detect anom… Show more
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