HyFuHAD fuses classical Einstein fuzzy detection from multiple membership functions with quantum fuzzy detection to achieve claimed state-of-the-art performance in unsupervised hyperspectral anomaly detection.
Identifiability of the simplex volume minimization criterion for blind hyperspectral unmixing: The no-pure-pixel case
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Hyperspectral Anomaly Detection Using Einstein Fuzzy Computing and Quantum Neural Network
HyFuHAD fuses classical Einstein fuzzy detection from multiple membership functions with quantum fuzzy detection to achieve claimed state-of-the-art performance in unsupervised hyperspectral anomaly detection.