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Anomaly detection in hyperspectral images is investigated using local tangent space alignment (LTSA) for dimensionality reduction (DR) in conjunction with a minimum distance detector. The LTSA is implemented for large images by constructing a manifold with training data and employing the out-of-sample extension for testing data. The training data that should represent all the background types are...
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