Pattern Recognition & Hyperspectral Image Processing
Lecturer, School of Information and Electrical Engineering
Hebei University of Engineering
Morphological profiles, tensor decomposition, and deep learning for detecting changes in hyperspectral imagery.
Collaborative representation, subspace methods, and spectral-spatial fusion for detecting anomalies without prior information.
Siamese networks, tensor sparse correlation filters, and band attention grouping for hyperspectral video tracking.
Evaluating and enhancing quality of remote sensing and infrared imagery.