Plaza, A.[Antonio]
Co Author Listing * Accelerating Convolutional Neural Network-Based Hyperspectral Image Classification by Step Activation Quantization
* Accurate Vegetation and Non-Vegetation Differentiation Approach Based on Land Cover Classification, An
* Anomaly Detection in Hyperspectral Images Based on Low-Rank and Sparse Representation
* Big Data for Remote Sensing: Challenges and Opportunities
* CIT: Content-invariant translation with hybrid attention mechanism for unsupervised change detection
* Classification Algorithms for Big Data Analysis, A Map Reduce Approach
* Collaborative Sparse Regression for Hyperspectral Unmixing
* Complementarity of Discriminative Classifiers and Spectral Unmixing Techniques for the Interpretation of Hyperspectral Images
* Convex Formulation for Multiband Image Classification With Superpixel-Based Spatial Regularization
* DAEN: Deep Autoencoder Networks for Hyperspectral Unmixing
* Deep Autoencoders With Multitask Learning for Bilinear Hyperspectral Unmixing
* Deep learning classifiers for hyperspectral imaging: A review
* Deep Learning for Land Cover Classification Using Only a Few Bands
* Deep Metric Learning Based on Scalable Neighborhood Components for Remote Sensing Scene Characterization
* Dimensionality Reduction and Classification of Hyperspectral Image Data Using Sequences of Extended Morphological Transformations
* Discriminative Low-Rank Gabor Filtering for Spectral-Spatial Hyperspectral Image Classification
* Efficient and Scalable Framework for Processing Remotely Sensed Big Data in Cloud Computing Environments, An
* End-to-End Convolutional Network and Spectral-Spatial Transformer Architecture for Hyperspectral Image Classification
* Endmember Estimation with Maximum Distance Analysis
* Estimating Nonlinearities in p-Linear Hyperspectral Mixtures
* Fast determination of the number of endmembers for real-time hyperspectral unmixing on GPUs
* Fast dimensionality reduction and classification of hyperspectral images with extreme learning machines
* FLOP-Reduction Through Memory Allocations Within CNN for Hyperspectral Image Classification
* FPGA implementation of a maximum simplex volume algorithm for endmember extraction from remotely sensed hyperspectral images
* FPGA Implementation of the N-FINDR Algorithm for Remotely Sensed Hyperspectral Image Analysis
* Fusion of Hyperspectral and LiDAR Data Using Sparse and Low-Rank Component Analysis
* Generalized Composite Kernel Framework for Hyperspectral Image Classification
* Generalized Morphological Component Analysis for Hyperspectral Unmixing
* Geographic Optimal Transport for Heterogeneous Data: Fusing Remote Sensing and Social Media
* Ghostnet for Hyperspectral Image Classification
* Graph Convolutional Networks for Hyperspectral Image Classification
* Graph Relation Network: Modeling Relations Between Scenes for Multilabel Remote-Sensing Image Classification and Retrieval
* Hashing Nets for Hashing: A Quantized Deep Learning to Hash Framework for Remote Sensing Image Retrieval
* High-Rankness Regularized Semi-Supervised Deep Metric Learning for Remote Sensing Imagery
* HYCA: A New Technique for Hyperspectral Compressive Sensing
* Hyperspectral Anomaly Detection Using Dual Window Density
* Hyperspectral Classification With Noisy Label Detection via Superpixel-to-Pixel Weighting Distance
* Hyperspectral Image Segmentation Using a New Bayesian Approach With Active Learning
* Hyperspectral Unmixing Based on Dual-Depth Sparse Probabilistic Latent Semantic Analysis
* Hyperspectral Unmixing Using Sparsity-Constrained Deep Nonnegative Matrix Factorization With Total Variation
* Image Segmentation Using Deep Learning: A Survey
* Impact of Initialization on Design of Endmember Extraction Algorithms
* Impact of Vector Ordering Strategies on Morphological Unmixing of Remotely Sensed Hyperspectral Images
* Improving Land Cover Classification Using Extended Multi-Attribute Profiles (EMAP) Enhanced Color, Near Infrared, and LiDAR Data
* Inference in Supervised Spectral Classifiers for On-Board Hyperspectral Imaging: An Overview
* Integration of Hyperspectral Image Classification and Unmixing for Active Learning
* Joint Sparse Sub-Pixel Mapping Model with Endmember Variability for Remotely Sensed Imagery
* Minimum Volume Simplex Analysis: A Fast Algorithm for Linear Hyperspectral Unmixing
* Multi-Scale Spectral-Spatial Attention Network for Hyperspectral Image Classification Combining 2D Octave and 3D Convolutional Neural Networks
* Multiple Feature Learning for Hyperspectral Image Classification
* Multiple Morphological Component Analysis Based Decomposition for Remote Sensing Image Classification
* Multisensor Coupled Spectral Unmixing for Time-Series Analysis
* MUSIC-CSR: Hyperspectral Unmixing via Multiple Signal Classification and Collaborative Sparse Regression
* Neural Ordinary Differential Equations for Hyperspectral Image Classification
* new approach to mixed pixel classification of hyperspectral imagery based on extended morphological profiles, A
* New Deep Generative Network for Unsupervised Remote Sensing Single-Image Super-Resolution, A
* New GPU Implementation of Support Vector Machines for Fast Hyperspectral Image Classification, A
* New Method for Positional Accuracy Analysis in Georeferenced Satellite Images without Independent Ground Control Points, A
* New Postprocessing Methods for Remote Sensing Image Classification: A Systematic Study
* New Spectral-Spatial Sub-Pixel Mapping Model for Remotely Sensed Hyperspectral Imagery, A
* Novel Negative Abundance-Oriented Hyperspectral Unmixing Algorithm, A
* Novel Preunmixing Framework for Efficient Detection of Linear Mixtures in Hyperspectral Images, A
* Object-Oriented Open-Pit Mine Mapping Using Gaofen-2 Satellite Image and Convolutional Neural Network, for the Yuzhou City, China
* On Endmember Identification in Hyperspectral Images Without Pure Pixels: A Comparison of Algorithms
* On the use of small training sets for neural network-based characterization of mixed pixels in remotely sensed hyperspectral images
* Optimized Spatial Gradient Transfer for Hyperspectral-LiDAR Data Classification
* Parallel Hyperspectral Image and Signal Processing
* Parallel real-time virtual dimensionality estimation for hyperspectral images
* Parallel Unmixing-Based Content Retrieval System for Distributed Hyperspectral Imagery Repository on Cloud Computing Platforms, A
* Performance of Change Detection Algorithms Using Heterogeneous Images and Extended Multi-attribute Profiles (EMAPs)
* Portability Study of an OpenCL Algorithm for Automatic Target Detection in Hyperspectral Images
* Probabilistic-Kernel Collaborative Representation for Spatial-Spectral Hyperspectral Image Classification
* Promise of Reconfigurable Computing for Hyperspectral Imaging Onboard Systems: A Review and Trends, The
* Real-time implementation of remotely sensed hyperspectral image unmixing on GPUs
* real-time unsupervised background extraction-based target detection method for hyperspectral imagery, A
* Remote Sensing Image Classification Using Attribute Filters Defined Over the Tree of Shapes
* Remote Sensing Image Superresolution Using Deep Residual Channel Attention
* Remote Sensing Scene Classification Using Multilayer Stacked Covariance Pooling
* Remotely sensed big data: evolution in model development for information extraction
* Remotely Sensed Image Classification Using Sparse Representations of Morphological Attribute Profiles
* Robust Collaborative Nonnegative Matrix Factorization for Hyperspectral Unmixing
* Scheduling-Guided Automatic Processing of Massive Hyperspectral Image Classification on Cloud Computing Architectures
* Semisupervised Hyperspectral Image Segmentation Using Multinomial Logistic Regression With Active Learning
* Semisupervised Self-Learning for Hyperspectral Image Classification
* Ship Detection in SAR Images via Enhanced Nonnegative Sparse Locality-Representation of Fisher Vectors
* Simultaneously Counting and Extracting Endmembers in a Hyperspectral Image Based on Divergent Subsets
* Single Model CNN for Hyperspectral Image Denoising, A
* Sparse Unmixing of Hyperspectral Data
* Spatial Discontinuity-Weighted Sparse Unmixing of Hyperspectral Images
* Spatial Technology and Social Media in Remote Sensing: A Survey
* Spatial Technology and Social Media [Scanning the Issue]
* Spatial-spectral endmember extraction from hyperspectral imagery using multi-band morphology and volume optimization
* Special issue on algorithms and architectures for real-time multi-dimensional image processing
* Spectral-Spatial Classification of Hyperspectral Data Using Local and Global Probabilities for Mixed Pixel Characterization
* Spectral-Spatial Classification of Hyperspectral Data Using Loopy Belief Propagation and Active Learning
* Spectral-Spatial Hyperspectral Image Segmentation Using Subspace Multinomial Logistic Regression and Markov Random Fields
* Spectral-Spatial Weighted Sparse Regression for Hyperspectral Image Unmixing
* Structured Sparse Coding-Based Hyperspectral Imagery Denoising With Intracluster Filtering
* Subpixel Component Analysis for Hyperspectral Image Classification
* suite of parallel algorithms for efficient band selection from hyperspectral images, A
* Support Tensor Machines for Classification of Hyperspectral Remote Sensing Imagery
* Total Variation Spatial Regularization for Sparse Hyperspectral Unmixing
* Unfolding Spatial-Temporal Patterns of Taxi Trip based on an Improved Network Kernel Density Estimation
* Visual Attention-Driven Hyperspectral Image Classification
Includes: Plaza, A.[Antonio] Plaza, A.
104 for Plaza, A.
Plaza, A.J.[Antonio J.]
Co Author Listing * Active Learning With Convolutional Neural Networks for Hyperspectral Image Classification Using a New Bayesian Approach
* Capsule Networks for Hyperspectral Image Classification
* Cloud Deep Networks for Hyperspectral Image Analysis
* Cloud Removal Based on Sparse Representation via Multitemporal Dictionary Learning
* Deep Pyramidal Residual Networks for Spectral-Spatial Hyperspectral Image Classification
* Deep Unsupervised Embedding for Remotely Sensed Images Based on Spatially Augmented Momentum Contrast
* Deep&Dense Convolutional Neural Network for Hyperspectral Image Classification
* Feature Extraction With Multiscale Covariance Maps for Hyperspectral Image Classification
* Generative Adversarial Minority Oversampling for Spectral-Spatial Hyperspectral Image Classification
* Hyperspectral Image Segmentation Using a New Spectral Mixture-Based Binary Partition Tree Representation
* Hyperspectral Image Segmentation Using a New Spectral Unmixing-Based Binary Partition Tree Representation
* New Deep Convolutional Neural Network for Fast Hyperspectral Image Classification, A
* New Spatial-Spectral Feature Extraction Method for Hyperspectral Images Using Local Covariance Matrix Representation, A
* Robust Normalized Softmax Loss for Deep Metric Learning-Based Characterization of Remote Sensing Images With Label Noise
* Scale-Free Convolutional Neural Network for Remote Sensing Scene Classification
* Signal Processing Perspective on Hyperspectral Unmixing: Insights from Remote Sensing, A
* Special issue on architectures and techniques for real-time processing of remotely sensed images
* Thin Cloud Removal Based on Signal Transmission Principles and Spectral Mixture Analysis
Includes: Plaza, A.J.[Antonio J.] Plaza, A.J.
18 for Plaza, A.J.
Plaza, E.[Enric]
Co Author Listing * Special issue on pattern recognition and cognitive assistants
Plaza, I.
Co Author Listing * Adaptive tracking algorithms to improve the use of computing resources
* Occlusion Management in Sequential Mean Field Monte Carlo Methods
Includes: Plaza, I. Plaza, I.[Inmaculada]
Plaza, J.[Javier]
Co Author Listing * Active Learning With Convolutional Neural Networks for Hyperspectral Image Classification Using a New Bayesian Approach
* Capsule Networks for Hyperspectral Image Classification
* Cloud Deep Networks for Hyperspectral Image Analysis
* Deep learning classifiers for hyperspectral imaging: A review
* Deep Pyramidal Residual Networks for Spectral-Spatial Hyperspectral Image Classification
* Deep&Dense Convolutional Neural Network for Hyperspectral Image Classification
* Developing human-machine interaction components for a driver assistance system for safe speed and safe distance
* Dimensionality Reduction and Classification of Hyperspectral Image Data Using Sequences of Extended Morphological Transformations
* Efficient and Scalable Framework for Processing Remotely Sensed Big Data in Cloud Computing Environments, An
* Endmember Estimation with Maximum Distance Analysis
* Estimating Nonlinearities in p-Linear Hyperspectral Mixtures
* Fast dimensionality reduction and classification of hyperspectral images with extreme learning machines
* Feature Extraction With Multiscale Covariance Maps for Hyperspectral Image Classification
* FLOP-Reduction Through Memory Allocations Within CNN for Hyperspectral Image Classification
* Fusion of Hyperspectral and LiDAR Data Using Sparse and Low-Rank Component Analysis
* Fusion of Multi-Temporal PAZ and Sentinel-1 Data for Crop Classification
* Ghostnet for Hyperspectral Image Classification
* Hyperspectral Unmixing Based on Dual-Depth Sparse Probabilistic Latent Semantic Analysis
* Impact of Vector Ordering Strategies on Morphological Unmixing of Remotely Sensed Hyperspectral Images
* Monitoring Spatial Behavior of Pastoralist Sheep Through GPS, Lidar Data and VNIR Image
* Neural Ordinary Differential Equations for Hyperspectral Image Classification
* new approach to mixed pixel classification of hyperspectral imagery based on extended morphological profiles, A
* New Deep Convolutional Neural Network for Fast Hyperspectral Image Classification, A
* New Deep Generative Network for Unsupervised Remote Sensing Single-Image Super-Resolution, A
* New Spatial-Spectral Feature Extraction Method for Hyperspectral Images Using Local Covariance Matrix Representation, A
* On Endmember Identification in Hyperspectral Images Without Pure Pixels: A Comparison of Algorithms
* On the use of small training sets for neural network-based characterization of mixed pixels in remotely sensed hyperspectral images
* Parallel Hyperspectral Image and Signal Processing
* real-time unsupervised background extraction-based target detection method for hyperspectral imagery, A
* Remote Sensing Image Superresolution Using Deep Residual Channel Attention
* Remote Sensing Scene Classification Using Multilayer Stacked Covariance Pooling
* Single Model CNN for Hyperspectral Image Denoising, A
* Social Media: New Perspectives to Improve Remote Sensing for Emergency Response
* Spatial-spectral endmember extraction from hyperspectral imagery using multi-band morphology and volume optimization
* Special issue on advances in real-time image processing for remote sensing
* Visual Attention-Driven Hyperspectral Image Classification
Includes: Plaza, J.[Javier] Plaza, J.
36 for Plaza, J.
Plazanet, C.[Corinne]
Co Author Listing * Experiments with Learning Techniques for Spatial Model Enrichment and Line Generalization
* Platform for Research in Generalization: Application to Caricature, A
Plazas, J.V.
Co Author Listing * foveal architecture for stereo matching, A
Plaziac, N.
Co Author Listing * Image Interpolation Using Neural Networks