50 results on '"Plaza, Javier"'
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2. Unified Cloud-Based Framework for Hyperspectral and Multispectral Image Fusion Incorporating Nonlocal Principles and Tensor Decomposition
3. Central Cohesion Gradual Hashing for Remote Sensing Image Retrieval
4. Distributed Nonlocal Coupled Hierarchical Tucker Decomposition for Hyperspectral Image Fusion
5. Hyperspectral Anomaly Detection With Relaxed Collaborative Representation
6. GPU-Friendly Neural Networks for Remote Sensing Scene Classification
7. A New Deep Convolutional Network for Effective Hyperspectral Unmixing
8. Fast Orthogonal Projection for Hyperspectral Unmixing
9. Endmember Estimation From Hyperspectral Images Using Geometric Distances
10. Ghostnet for Hyperspectral Image Classification
11. Distributed Deep Learning for Remote Sensing Data Interpretation
12. FLOP-Reduction Through Memory Allocations Within CNN for Hyperspectral Image Classification
13. Analysis of Remotely Sensed Images Through Social Media
14. Neighboring Region Dropout for Hyperspectral Image Classification
15. Skip-Connected Covariance Network for Remote Sensing Scene Classification
16. A Single Model CNN for Hyperspectral Image Denoising
17. Neural Ordinary Differential Equations for Hyperspectral Image Classification
18. Cloud Deep Networks for Hyperspectral Image Analysis
19. Remote Sensing Image Superresolution Using Deep Residual Channel Attention
20. Hyperspectral Image Classification Using Random Occlusion Data Augmentation
21. Visual Attention-Driven Hyperspectral Image Classification
22. GPU Parallel Implementation of Dual-Depth Sparse Probabilistic Latent Semantic Analysis for Hyperspectral Unmixing
23. An Efficient and Scalable Framework for Processing Remotely Sensed Big Data in Cloud Computing Environments
24. Low–High-Power Consumption Architectures for Deep-Learning Models Applied to Hyperspectral Image Classification
25. Capsule Networks for Hyperspectral Image Classification
26. Deep Pyramidal Residual Networks for Spectral–Spatial Hyperspectral Image Classification
27. Feature Extraction With Multiscale Covariance Maps for Hyperspectral Image Classification
28. Remote Sensing Scene Classification Using Multilayer Stacked Covariance Pooling
29. Remote Sensing Image Fusion Using Hierarchical Multimodal Probabilistic Latent Semantic Analysis
30. Active Learning With Convolutional Neural Networks for Hyperspectral Image Classification Using a New Bayesian Approach
31. Hyperspectral Unmixing Based on Dual-Depth Sparse Probabilistic Latent Semantic Analysis
32. A New Deep Generative Network for Unsupervised Remote Sensing Single-Image Super-Resolution
33. Estimating Nonlinearities in p-Linear Hyperspectral Mixtures
34. Stacked Nonnegative Sparse Autoencoders for Robust Hyperspectral Unmixing
35. Multimodal Probabilistic Latent Semantic Analysis for Sentinel-1 and Sentinel-2 Image Fusion
36. A New Spatial–Spectral Feature Extraction Method for Hyperspectral Images Using Local Covariance Matrix Representation
37. Multicore Real-Time Implementation of a Full Hyperspectral Unmixing Chain
38. GPU Parallel Implementation of Spatially Adaptive Hyperspectral Image Classification
39. Advances in Hyperspectral Image and Signal Processing: A Comprehensive Overview of the State of the Art
40. Fusion of Hyperspectral and LiDAR Data Using Sparse and Low-Rank Component Analysis
41. Social Media: New Perspectives to Improve Remote Sensing for Emergency Response
42. Robust Matrix Discriminative Analysis for Feature Extraction From Hyperspectral Images
43. Parallel Implementation of Spatial–Spectral Endmember Extraction on Graphic Processing Units
44. Advanced Spectral Classifiers for Hyperspectral Images: A review
45. GPU Implementation of Spatial–Spectral Preprocessing for Hyperspectral Unmixing
46. Fast Spatial Preprocessing for Spectral Unmixing of Hyperspectral Data on Graphics Processing Units
47. Nonlinear Hyperspectral Unmixing Using Nonlinearity Order Estimation and Polytope Decomposition
48. A New Minimum-Volume Enclosing Algorithm for Endmember Identification and Abundance Estimation in Hyperspectral Data
49. Parallel Hyperspectral Image and Signal Processing [Applications Corner]
50. Spectral Mixture Analysis of Hyperspectral Scenes Using Intelligently Selected Training Samples
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