85 results on '"Zhao, Liaoying"'
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2. Dual attention-based method for occluded person re-identification
3. Hyperspectral Unmixing Network Accounting for Spectral Variability Based on a Modified Scaled and a Perturbed Linear Mixing Model.
4. Enhanced Tensor Low-Rank Representation Learning for Hyperspectral Anomaly Detection.
5. Blind nonlinear hyperspectral unmixing based on constrained kernel nonnegative matrix factorization
6. An accurate and robust registration framework based on outlier removal and feature point adjustment for remote sensing images.
7. Autoencoder Network for Hyperspectral Unmixing With Adaptive Abundance Smoothing.
8. Hyperspectral Anomaly Detection Based on Low-Rank Representation Using Local Outlier Factor.
9. Representativeness and Redundancy-Based Band Selection for Hyperspectral Image Classification'.
10. Iterative Scale-Invariant Feature Transform for Remote Sensing Image Registration.
11. Correntropy-Based Spatial-Spectral Robust Sparsity-Regularized Hyperspectral Unmixing.
12. A Superpixel-Based Dual Window RX for Hyperspectral Anomaly Detection.
13. Kernel-OPBS Algorithm: A Nonlinear Feature Selection Method for Hyperspectral Imagery.
14. Infrared Small Target Detection Based on Multiscale Local Contrast Measure Using Local Energy Factor.
15. Spectral–Spatial Robust Nonnegative Matrix Factorization for Hyperspectral Unmixing.
16. Hyperspectral Unmixing Based on Incremental Kernel Nonnegative Matrix Factorization.
17. A Fast Hyperspectral Feature Selection Method Based on Band Correlation Analysis.
18. Half-quadratic based robust hyperspectral unmixing framework.
19. A Geometry-Based Band Selection Approach for Hyperspectral Image Analysis.
20. Medium-low resolution multisource remote sensing image registration based on SIFT and robust regional mutual information.
21. Recursive Local Summation of RX Detection for Hyperspectral Image Using Sliding Windows.
22. Unmixing of large-scale hyperspectral data based on projected mini-batch gradient descent.
23. Incremental kernel non-negative matrix factorization for hyperspectral unmixing.
24. Unsupervised nonlinear hyperspectral unmixing based on the generalized bilinear model.
25. An advanced hyperspectral band selection approach based on mutual information.
26. Multi-source remote sensing image registration based on sift and optimization of local self-similarity mutual information.
27. Subpixel Mapping Method of Hyperspectral Images Based on Modified Binary Quantum Particle Swarm Optimization.
28. Band selection for hyperspecral imagery based on particle swarm optimization.
29. Hopfield Neural Network Approach for Supervised Nonlinear Spectral Unmixing.
30. Fast implementation of linear and nonlinear simplex growing algorithm for hyperspectral endmember extraction.
31. Endmember-specified virtual dimensionality in hyperspectral imagery.
32. Remote sensing image registration using SIFT and vegetation index analysis.
33. An endmember extraction algorithm for hyperspectral imagery based on kernel orthogonal subspace projection.
34. Kernel Oblique Subspace Projection Approach for Target Detection in Hyperspectral Imagery.
35. A Kernel Spatial Complexity-Based Nonlinear Unmixing Method of Hyperspectral Imagery.
36. A New Scheme for Decomposition of Mixed Pixels Based on Modified Nonnegative Matrix Factorization and Genetic-Algorithm.
37. Nonlinear Spectral Mixture Analysis by Determining Per-Pixel Endmember Sets.
38. Exploring the Intrinsic Probability Distribution for Hyperspectral Anomaly Detection.
39. Linear Mixture Analysis for Hyperspectral Imagery in the Presence of Less Prevalent Materials.
40. Exploiting the sparse characteristics in probabilistic feature space for hyperspectral anomaly detection.
41. EBARec-BS: Effective Band Attention Reconstruction Network for Hyperspectral Imagery Band Selection.
42. LSTM-Based Remote Sensing Inversion of Largescale Sand Wave Topography of the Taiwan Banks.
43. Gated Autoencoder Network for Spectral–Spatial Hyperspectral Unmixing.
44. Multi-sensor images registration based on SIFT and extended phase correlation.
45. Local density based potential dictionary construction for low rank representation in hyperspectral anomaly detection.
46. Resolution independent person re‐identification network.
47. 3D convolutional siamese network for few-shot hyperspectral classification.
48. Optical Remote Sensing Image Registration Using Spatial-Consistency and Average Regional Information Divergence Minimization via Quantum-Behaved Particle Swarm Optimization.
49. Hyperspectral unmixing with scaled and perturbed linear mixing model to address spectral variability.
50. Semisupervised hyperspectral imagery classification based on a three-dimensional convolutional adversarial autoencoder model with low sample requirements.
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