HIGHLIGHTS
- who: Wenting Shang and colleagues from the Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China have published the paper: Hyperspectral Anomaly Detection Based on Regularized Background Abundance Tensor Decomposition, in the Journal: (JOURNAL)
- what: In this paper, motivated by the fact that abundance maps possess more distinctive features than raw data, contributing to an accurate separation of anomalies from the background, the authors propose an abundance tensor regularization procedure with low rankness and smoothness based on sparse unmixing (ATLSS) for hyperspectral AD. In the paper , the abundance tensor is characterized by . . .
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