Index for plaz

Plaza, A. Co Author Listing * Anomaly Detection in Hyperspectral Images Based on Low-Rank and Sparse Representation
* Big Data for Remote Sensing: Challenges and Opportunities
* 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
* 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
* 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
* 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
* HYCA: A New Technique for Hyperspectral Compressive Sensing
* 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
* Impact of Initialization on Design of Endmember Extraction Algorithms
* Impact of Vector Ordering Strategies on Morphological Unmixing of Remotely Sensed Hyperspectral Images
* 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
* 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
* 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 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
* 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
* Parallel real-time virtual dimensionality estimation for hyperspectral images
* Performance of Change Detection Algorithms Using Heterogeneous Images and Extended Multi-attribute Profiles (EMAPs)
* 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 Scene Classification Using Multilayer Stacked Covariance Pooling
* Remotely Sensed Image Classification Using Sparse Representations of Morphological Attribute Profiles
* Robust Collaborative Nonnegative Matrix Factorization for Hyperspectral Unmixing
* Semisupervised Hyperspectral Image Segmentation Using Multinomial Logistic Regression With Active Learning
* Semisupervised Self-Learning for Hyperspectral Image Classification
* 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
* Visual Attention-Driven Hyperspectral Image Classification
Includes: Plaza, A. Plaza, A.[Antonio]
66 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 Removal Based on Sparse Representation via Multitemporal Dictionary Learning
* Deep Pyramidal Residual Networks for Spectral-Spatial Hyperspectral Image Classification
* Deep&Dense Convolutional Neural Network for Hyperspectral Image Classification
* Feature Extraction With Multiscale Covariance Maps for 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
* 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.
14 for Plaza, A.J.

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
* 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
* 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
* Fusion of Hyperspectral and LiDAR Data Using Sparse and Low-Rank Component Analysis
* Hyperspectral Unmixing Based on Dual-Depth Sparse Probabilistic Latent Semantic Analysis
* Impact of Vector Ordering Strategies on Morphological Unmixing of Remotely Sensed Hyperspectral Images
* 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 Scene Classification Using Multilayer Stacked Covariance Pooling
* 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.
26 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

Index for "p"


Last update: 7-Nov-19 15:49:06
Use price@usc.edu for comments.