Hyperspectral Anomaly Detection Based on Improved RX with CNN Framework. - Zhuang Li 003; Ye Zhang 008 (IGARSS, 2019)

A New Hyperspectral Anomaly Detection Method Based on Higher Order Statistics and Adaptive Cosine Estimator. - Zhuang Li 003; Ye Zhang 008 (IEEE Geosci. Remote. Sens. Lett., 2020)

Hyperspectral Anomaly Detection via Image Super-Resolution Processing and Spatial Correlation. - Zhuang Li 003; Ye Zhang 008 (IEEE Trans. Geosci. Remote. Sens., 2021)

Hyperspectral Anomaly Detection via Optimal Kernel and High-Order Moment Correlation Representation. - Zhuang Li 003; Ye Zhang 008; Junping Zhang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Hyperspectral Anomaly Detection for Spectral Anomaly Targets via Spatial and Spectral Constraints. - Zhuang Li 003; Ye Zhang 008; Junping Zhang (IEEE Trans. Geosci. Remote. Sens., 2022)

Potential Target Region Extraction and Isolated Forest With Statistical Correlation Representation for Hyperspectral Anomaly Detection. - Zhuang Li 003; Ye Zhang 008; Junping Zhang (IEEE Trans. Geosci. Remote. Sens., 2022)

Tensor Approximation With Low-Rank Representation and Kurtosis Correlation Constraint for Hyperspectral Anomaly Detection. - Zhuang Li 003; Ye Zhang 008; Junping Zhang (IEEE Trans. Geosci. Remote. Sens., 2022)