86 results on '"Sveinsson, Johannes R."'
Search Results
2. Deep Sparse and Low-Rank Prior for Hyperspectral Image Denoising
3. Sharpening the 20 M Bands of SENTINEL-2 Image Using an Unsupervised Convolutional Neural Network
4. Wavelet-Based Block Low-Rank Representations for Hyperspectral Denoising
5. Fusing Sentinel-2 Satellite Images and Aerial RGB Images
6. Tuning Parameter Selection for Sentinel-2 Sharpening Using Wald's Protocol
7. Non-Local Means Low-Rank Approximation for Hyperspectral Denoising
8. Sure Based Convolutional Neural Networks for Hyperspectral Image Denoising
9. Hyperspectral Images Denoising Based on Mixtures of Factor Analyzers
10. Creating RGB Images from Hyperspectral Images Using a Color Matching Function
11. Local Spatial-Spectral Correlation Based Mixtures of Factor Analyzers for Hyperspectral Denoising
12. Zero-Shot Sentinel-2 Sharpening Using a Symmetric Skipped Connection Convolutional Neural Network
13. (Semi-) Supervised Mixtures of Factor Analyzers and Deep Mixtures of Factor Analyzers Dimensionality Reduction Algorithms For Hyperspectral Images Classification
14. Mixtures of Factor Analyzers and Deep Mixtures of Factor Analyzers Dimensionality Reduction Algorithms For Hyperspectral Images Classification
15. Optimal Component Substitution and Multi-Resolution Analysis Pansharpening Methods Using a Convolutional Neural Network
16. Convolutional Autoencoder for Spatial-Spectral Hyperspectral Unmixing
17. Multitask Learning for Spatial-Spectral Hyperspectral Unmixing
18. Weighted Blind ℓqHyperspectral Unmixing
19. Parameter Estimation For Blind lq Hyperspectral Unmixing Using Bayesian Optimization
20. Single Sensor Image Fusion Using a Deep Residual Network
21. Single Sensor Image Fusion Using A Deep Convolutional Generative Adversarial Network
22. Fast multitemporal hyperspectral unmixing
23. Sparse and low rank hyperspectral unmixing
24. Neural network hyperspectral unmixing with spectral information divergence objective
25. Sparse distributed hyperspectral unmixing
26. Total variation and ℓq based hyperspectral unmixing for feature extraction and classification
27. MTF-deblurring preprocessing for CS and MRA pansharpening methods
28. Model based pansharpening method based on TV and MTF deblurring
29. Model based PCA/wavelet fusion of multispectral and hyperspectral images
30. Sure based model selection for hyperspectral imaging
31. Semi-supervised hyperspectral unmixing
32. Total variation based hyperspectral feature extraction
33. Hyperspectral image denoising using a sparse low rank model and dual-tree complex wavelet transform
34. Endmember constrained semi-supervised hyperspectral unmixing
35. Sparse Gaussian noisy independent component analysis
36. Wavelet based hyperspectral image restoration using spatial and spectral penalties
37. Hyperspectral image restoration using wavelets
38. Sparse representation of hyperspectral data using CUR matrix decomposition
39. Smooth spectral unmixing using total variation regularization and a first order roughness penalty
40. Hyperspectral image denoising using a new linear model and Sparse Regularization
41. Pansharpening via sparsity optimization using overcomplete transforms
42. Smooth and sparse hyperspectral unmixing using an l0 penalty
43. First order roughness penalty for hyperspectral image denoising
44. Wavelet based sparse Principal Component Analysis for hyperspectral denoising
45. Hyperspectral image denoising using 3D wavelets
46. SAR image denoising using total variation based regularization with sure-based optimization of the regularization parameter
47. A smooth hyperspectral unmixing method using cyclic descent
48. A new pansharpening method using an explicit image formation model regularized via Total Variation
49. Image fusion for classification of high resolution images based on mathematical morphology
50. Speckle reduction of TerraSAR-X imagery using TV segmentation
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