Anomaly Detection in Hyperspectral Images Based on an Adaptive Support Vector Method
Recently, anomaly detection (AD) has attracted considerable interest in a wide variety of hyperspectral remote sensing applications. The goal of this unsupervised technique of target detection is to identify the pixels with significantly different spectral signatures from the neighboring background....
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Veröffentlicht in: | IEEE geoscience and remote sensing letters 2011-07, Vol.8 (4), p.646-650 |
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