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Anomaly is generally defined as an object that strays away from the background clutter. As for hyperspectral anomaly detection, most of the previous methods fail to fully take advantage of the knowledge in both spatial and spectral domain. In this paper, we propose a novel method based on tensor recovery in which spatial structures and spectral characters are reasonably considered to separate the...
Spatiotemporal reflectance fusion plays an important role in providing earth observation with both high-spatial and high-temporal resolutions, and sparse representation is one of the popular strategies to implement spatiotemporal fusion. However, the existing methods generally suffers from instability of sparse representation for the fine and coarse image pairs. In this paper, we demonstrate that...
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