Spectral-Difference Low-Rank Representation Learning for Hyperspectral Anomaly Detection
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DOI: 10.1109/tgrs.2020.3046727
Abstract: Anomaly detection of a hyperspectral image without any prior information has attracted much more attention in remote sensing image understanding and interpretation, which aims at determining whether a sample belongs to background or anomaly. Low-rank… read more here.
Keywords: low rank; spectral difference; rank; difference low ... See more keywords