222 results on '"Sveinsson, Johannes R."'
Search Results
52. Optimal Component Substitution and Multi-Resolution Analysis Pansharpening Methods Using a Convolutional Neural Network
53. Convolutional Autoencoder for Spatial-Spectral Hyperspectral Unmixing
54. Multitask Learning for Spatial-Spectral Hyperspectral Unmixing
55. Weighted Blind ℓqHyperspectral Unmixing
56. Spectral-Spatial Hyperspectral Unmixing Using Multitask Learning
57. Parameter Estimation For Blind lq Hyperspectral Unmixing Using Bayesian Optimization
58. Single Sensor Image Fusion Using a Deep Residual Network
59. Single Sensor Image Fusion Using A Deep Convolutional Generative Adversarial Network
60. Hyperspectral Unmixing Using a Neural Network Autoencoder
61. Sparse Distributed Multitemporal Hyperspectral Unmixing
62. Fast multitemporal hyperspectral unmixing
63. Sparse and low rank hyperspectral unmixing
64. Neural network hyperspectral unmixing with spectral information divergence objective
65. Multispectral and Hyperspectral Image Fusion Using a 3-D-Convolutional Neural Network
66. Hyperspectral Feature Extraction Using Total Variation Component Analysis
67. Blind Hyperspectral Unmixing Using Total Variation and$\ell_q$Sparse Regularization
68. Classification of Big Data With Application to Imaging Genetics
69. Sparse distributed hyperspectral unmixing
70. MTF-Based Deblurring Using a Wiener Filter for CS and MRA Pansharpening Methods
71. Quantitative Quality Evaluation of Pansharpened Imagery: Consistency Versus Synthesis
72. Hyperspectral Subspace Identification Using SURE
73. Total variation and ℓq based hyperspectral unmixing for feature extraction and classification
74. MTF-deblurring preprocessing for CS and MRA pansharpening methods
75. Model based pansharpening method based on TV and MTF deblurring
76. Model-Based Fusion of Multi- and Hyperspectral Images Using PCA and Wavelets
77. Hyperspectral Unmixing With$l_{q}$ Regularization
78. Wavelet-Based Sparse Reduced-Rank Regression for Hyperspectral Image Restoration
79. Blind Hyperspectral Unmixing Using Total Variation and $\ell_q$ Sparse Regularization.
80. Automatic Spectral–Spatial Classification Framework Based on Attribute Profiles and Supervised Feature Extraction
81. Model based PCA/wavelet fusion of multispectral and hyperspectral images
82. Sure based model selection for hyperspectral imaging
83. Semi-supervised hyperspectral unmixing
84. Total variation based hyperspectral feature extraction
85. Hyperspectral image denoising using a sparse low rank model and dual-tree complex wavelet transform
86. Hyperspectral Image Denoising Using First Order Spectral Roughness Penalty in Wavelet Domain
87. Endmember constrained semi-supervised hyperspectral unmixing
88. Sparse Gaussian noisy independent component analysis
89. A New Pansharpening Algorithm Based on Total Variation
90. Wavelet based hyperspectral image restoration using spatial and spectral penalties
91. Hyperspectral image restoration using wavelets
92. Sparse representation of hyperspectral data using CUR matrix decomposition
93. Smooth spectral unmixing using total variation regularization and a first order roughness penalty
94. Hyperspectral image denoising using a new linear model and Sparse Regularization
95. Pansharpening via sparsity optimization using overcomplete transforms
96. Smooth and sparse hyperspectral unmixing using an l0 penalty
97. First order roughness penalty for hyperspectral image denoising
98. Wavelet based sparse Principal Component Analysis for hyperspectral denoising
99. Hyperspectral image denoising using 3D wavelets
100. SAR image denoising using total variation based regularization with sure-based optimization of the regularization parameter
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