Self-Paced Probabilistic Collaborative Representation for Anomaly Detection of Hyperspectral Images

In recent years, hyperspectral anomaly detection methods based on representation models have attracted much attention. However, when the dictionary is polluted by anomalous pixels, their performance is greatly affected. To adjust the contributions of different dictionary atoms, traditional methods u...

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Veröffentlicht in:IEEE transactions on geoscience and remote sensing 2024, Vol.62, p.1-10
Hauptverfasser: Zhang, Chendi, Su, Hongjun, Wang, Xiaolei, Wu, Zhaoyue, Yang, Yufan, Xue, Zhaohui, Du, Qian
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Sprache:eng
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