PUBLICACIÓN

Social Media: New Perspectives to Improve Remote Sensing for Emergency Response

ACCEDER A LA PUBLICACIÓN: Scopus Orcid

Li J.; He Z.; Plaza J.; Li S.; Chen J.; Wu H.; Wang Y.; Liu Y.

2017 PROCEEDINGS OF THE IEEE

Electrical and Electronic Engineering (Q1)

JCR: 9.107

SJR: 1.38

CITAS

71

DOI

10.1109/jproc.2017.2684460

EID

2-s2.0-85018653090

ISSN

0018-9219

EISSN

1558-2256

AUTORES DE LA UEX

Javier Plaza Miguel

OTRAS PUBLICACIONES DE INTERÉS

Aplicación Adaptativa Basada En Computación Neuronal Para Ayuda A La Comunicación Con El Ordenador De Ususarios Discapacitados.
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Caem-Detr: Small Aerial Target Detection Via Contrastive Attention Enhanced Multi-Domain Fidelity Fusion
A Mask Guided Oriented Object Detector Based On Rotated Size-Adaptive Tricube Kernel
Caem-Detr: Small Aerial Target Detection Via Contrastive Attention Enhanced Multi-Domain Fidelity Fusion
A Mask Guided Oriented Object Detector Based On Rotated Size-Adaptive Tricube Kernel
Unified Cloud-Based Framework For Hyperspectral And Multispectral Image Fusion Incorporating Nonlocal Principles And Tensor Decomposition
A Mask Guided Oriented Object Detector Based On Rotated Size-Adaptive Tricube Kernel
Unified Cloud-Based Framework For Hyperspectral And Multispectral Image Fusion Incorporating Nonlocal Principles And Tensor Decomposition
Cloud-Edge Selective Background Energy Constrained Filter For Real-Time Hyperspectral Target Detection
Unified Cloud-Based Framework For Hyperspectral And Multispectral Image Fusion Incorporating Nonlocal Principles And Tensor Decomposition
Cloud-Edge Selective Background Energy Constrained Filter For Real-Time Hyperspectral Target Detection
Fusing Sar Images And Social Media Data Through Domain Adaptation And Land Cover Information: A Case Of 2017 Houston Flood Event
Cloud-Edge Selective Background Energy Constrained Filter For Real-Time Hyperspectral Target Detection
Fusing Sar Images And Social Media Data Through Domain Adaptation And Land Cover Information: A Case Of 2017 Houston Flood Event
Ce-Rx: A Collaborative Cloud-Edge Anomaly Detection Approach For Hyperspectral Images
Fusing Sar Images And Social Media Data Through Domain Adaptation And Land Cover Information: A Case Of 2017 Houston Flood Event
Ce-Rx: A Collaborative Cloud-Edge Anomaly Detection Approach For Hyperspectral Images
Distributed Nonlocal Coupled Hierarchical Tucker Decomposition For Hyperspectral Image Fusion
Ce-Rx: A Collaborative Cloud-Edge Anomaly Detection Approach For Hyperspectral Images
Distributed Nonlocal Coupled Hierarchical Tucker Decomposition For Hyperspectral Image Fusion
Hyperspectral And Multispectral Image Fusion Target Detection Based On Cloud-Edge Collaboration
Distributed Nonlocal Coupled Hierarchical Tucker Decomposition For Hyperspectral Image Fusion
Hyperspectral And Multispectral Image Fusion Target Detection Based On Cloud-Edge Collaboration
Central Cohesion Gradual Hashing For Remote Sensing Image Retrieval
Hyperspectral And Multispectral Image Fusion Target Detection Based On Cloud-Edge Collaboration
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Adaptive Dictionary Construction For Hyperspectral Anomaly Detection Based On Collaborative Representation
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Adaptive Dictionary Construction For Hyperspectral Anomaly Detection Based On Collaborative Representation
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Adaptive Dictionary Construction For Hyperspectral Anomaly Detection Based On Collaborative Representation
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A New Deep Convolutional Network For Effective Hyperspectral Unmixing
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Hyperspectral Anomaly Detection With Relaxed Collaborative Representation
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Fast Orthogonal Projection For Hyperspectral Unmixing
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Endmember Estimation From Hyperspectral Images Using Geometric Distances
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Distributed Deep Learning For Remote Sensing Data Interpretation
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Endmember Estimation With Maximum Distance Analysis
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Multiple Incremental Kernel Convolution For Land Cover Classification Of Remotely Sensed Images
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Analysis Of Remotely Sensed Images Through Social Media
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On The Evaluation Of Machine Learning Algorithms For Hyperspectral Image Classification On A Heterogeneous Computing Device
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Training Deep Neural Networks: A Static Load Balancing Approach
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Scalable Recurrent Neural Network For Hyperspectral Image Classification
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Scalable Recurrent Neural Network For Hyperspectral Image Classification
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Deep Pyramidal Residual Networks For Spectral-Spatial Hyperspectral Image Classification
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Remote Sensing Image Superresolution Using Deep Residual Channel Attention
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Visual Attention-Driven Hyperspectral Image Classification
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Visual Attention-Driven Hyperspectral Image Classification
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A New Deep Convolutional Neural Network For Fast Hyperspectral Image Classification
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Inter-Sensor Regression Analysis For Operational Sentinel-2 And Sentinel-3 Data Products
Fast Dimensionality Reduction And Classification Of Hyperspectral Images With Extreme Learning Machines
Inter-Sensor Regression Analysis For Operational Sentinel-2 And Sentinel-3 Data Products
Fast Dimensionality Reduction And Classification Of Hyperspectral Images With Extreme Learning Machines
Deep & Dense Convolutional Neural Network For Hyperspectral Image Classification
Fast Dimensionality Reduction And Classification Of Hyperspectral Images With Extreme Learning Machines
Deep & Dense Convolutional Neural Network For Hyperspectral Image Classification
Multimodal Probabilistic Latent Semantic Analysis For Sentinel-1 And Sentinel-2 Image Fusion
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Multimodal Probabilistic Latent Semantic Analysis For Sentinel-1 And Sentinel-2 Image Fusion
Remote Sensing Image Fusion Using Hierarchical Multimodal Probabilistic Latent Semantic Analysis
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Remote Sensing Image Fusion Using Hierarchical Multimodal Probabilistic Latent Semantic Analysis
Hyperspectral Image Classification Using Parallel Autoencoding Diabolo Networks On Multi-Core And Many-Core Architectures
Remote Sensing Image Fusion Using Hierarchical Multimodal Probabilistic Latent Semantic Analysis
Hyperspectral Image Classification Using Parallel Autoencoding Diabolo Networks On Multi-Core And Many-Core Architectures
Remote Sensing Scene Classification Using Multilayer Stacked Covariance Pooling
Hyperspectral Image Classification Using Parallel Autoencoding Diabolo Networks On Multi-Core And Many-Core Architectures
Remote Sensing Scene Classification Using Multilayer Stacked Covariance Pooling
Estimating Nonlinearities In P-Linear Hyperspectral Mixtures
Remote Sensing Scene Classification Using Multilayer Stacked Covariance Pooling
Estimating Nonlinearities In P-Linear Hyperspectral Mixtures
Hyperspectral Unmixing Based On Dual-Depth Sparse Probabilistic Latent Semantic Analysis
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Hyperspectral Unmixing Based On Dual-Depth Sparse Probabilistic Latent Semantic Analysis
A Real-Time Unsupervised Background Extraction-Based Target Detection Method For Hyperspectral Imagery
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A Real-Time Unsupervised Background Extraction-Based Target Detection Method For Hyperspectral Imagery
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A New Spatial-Spectral Feature Extraction Method For Hyperspectral Images Using Local Covariance Matrix Representation
Multicore Real-Time Implementation Of A Full Hyperspectral Unmixing Chain
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Multicore Implementation Of The Multi-Scale Adaptive Deep Pyramid Matching Model For Remotely Sensed Image Classification
Onboard Payload-Data Dimensionality Reduction
Multicore Implementation Of The Multi-Scale Adaptive Deep Pyramid Matching Model For Remotely Sensed Image Classification
Onboard Payload-Data Dimensionality Reduction
Cloud Implementation Of The K-Means Algorithm For Hyperspectral Image Analysis
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Cloud Implementation Of The K-Means Algorithm For Hyperspectral Image Analysis
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Spatial Weighted Sparse Regression For Hyperspectral Image Unmixing
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Advances In Hyperspectral Image And Signal Processing: A Comprehensive Overview Of The State Of The Art
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Advances In Hyperspectral Image And Signal Processing: A Comprehensive Overview Of The State Of The Art
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Fusion Of Hyperspectral And Lidar Data Using Sparse And Low-Rank Component Analysis
Robust Matrix Discriminative Analysis For Feature Extraction From Hyperspectral Images
Fusion Of Hyperspectral And Lidar Data Using Sparse And Low-Rank Component Analysis
Robust Matrix Discriminative Analysis For Feature Extraction From Hyperspectral Images
Parallel Implementation Of Spatial-Spectral Endmember Extraction On Graphic Processing Units
Robust Matrix Discriminative Analysis For Feature Extraction From Hyperspectral Images
Parallel Implementation Of Spatial-Spectral Endmember Extraction On Graphic Processing Units
Advanced Spectral Classifiers For Hyperspectral Images: A Review
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Social Media: New Perspectives To Improve Remote Sensing For Emergency Response
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Social Media: New Perspectives To Improve Remote Sensing For Emergency Response
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Social Media: New Perspectives To Improve Remote Sensing For Emergency Response
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Gpu Implementation Of Spatial-Spectral Preprocessing For Hyperspectral Unmixing
Integrating Multiple Nonlinear Estimators Into Hyperspectral Unmixing
Gpu Implementation Of Spatial-Spectral Preprocessing For Hyperspectral Unmixing
Fast Spatial-Spectral Preprocessing For Endmember Extraction And Spectral Unmixing Using Graphic Processing Units
Gpu Implementation Of Spatial-Spectral Preprocessing For Hyperspectral Unmixing
Fast Spatial-Spectral Preprocessing For Endmember Extraction And Spectral Unmixing Using Graphic Processing Units
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An Iterative Enhancement Of Higher Order Nonlinear Mixture Model For Accurate Hyperspectral Unmixing
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An Iterative Enhancement Of Higher Order Nonlinear Mixture Model For Accurate Hyperspectral Unmixing
Fast Spatial Preprocessing For Spectral Unmixing Of Hyperspectral Data On Graphics Processing Units
An Iterative Enhancement Of Higher Order Nonlinear Mixture Model For Accurate Hyperspectral Unmixing
Fast Spatial Preprocessing For Spectral Unmixing Of Hyperspectral Data On Graphics Processing Units
Spatial-Spectral Preprocessing For Endmember Extraction On Gpu's
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Spatial-Spectral Preprocessing For Endmember Extraction On Gpu's
Nonlinear Method Of Reduction Of Dimensionality Based On Artificial Neural Network And Hardware Implementation
Spatial-Spectral Preprocessing For Endmember Extraction On Gpu's
Nonlinear Method Of Reduction Of Dimensionality Based On Artificial Neural Network And Hardware Implementation
Nonlinear Hyperspectral Unmixing Using Nonlinearity Order Estimation And Polytope Decomposition
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Nonlinear Hyperspectral Unmixing Using Nonlinearity Order Estimation And Polytope Decomposition
Gpu Implementation Of Spatial Preprocessing For Spectral Unmixing Of Hyperspectral Data
Nonlinear Hyperspectral Unmixing Using Nonlinearity Order Estimation And Polytope Decomposition
Gpu Implementation Of Spatial Preprocessing For Spectral Unmixing Of Hyperspectral Data
Integrating Multiple Nonlinear Estimators Into Hyperspectral Unmixing
Gpu Implementation Of Spatial Preprocessing For Spectral Unmixing Of Hyperspectral Data
Integrating Multiple Nonlinear Estimators Into Hyperspectral Unmixing
On The Minimum Volume Simplex Enclosure Problem For Estimating A Linear Mixing Model
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On The Minimum Volume Simplex Enclosure Problem For Estimating A Linear Mixing Model
Hyperspectral Data Processing Algorithms
On The Minimum Volume Simplex Enclosure Problem For Estimating A Linear Mixing Model
Hyperspectral Data Processing Algorithms
On Endmember Identification In Hyperspectral Images Without Pure Pixels: A Comparison Of Algorithms
Hyperspectral Data Processing Algorithms
On Endmember Identification In Hyperspectral Images Without Pure Pixels: A Comparison Of Algorithms
A New Minimum-Volume Enclosing Algorithm For Endmember Identification And Abundance Estimation In Hyperspectral Data
On Endmember Identification In Hyperspectral Images Without Pure Pixels: A Comparison Of Algorithms
A New Minimum-Volume Enclosing Algorithm For Endmember Identification And Abundance Estimation In Hyperspectral Data
Parallel Implementation Of Linear And Nonlinear Spectral Unmixing Of Remotely Sensed Hyperspectral Images
A New Minimum-Volume Enclosing Algorithm For Endmember Identification And Abundance Estimation In Hyperspectral Data
Parallel Implementation Of Linear And Nonlinear Spectral Unmixing Of Remotely Sensed Hyperspectral Images
Parallel Hyperspectral Image And Signal Processing
Parallel Implementation Of Linear And Nonlinear Spectral Unmixing Of Remotely Sensed Hyperspectral Images
Parallel Hyperspectral Image And Signal Processing
On The Incorporation Of Spatial Information To Endmember Identification Algorithms Without The Pure Pixel Assumption
Parallel Hyperspectral Image And Signal Processing
On The Incorporation Of Spatial Information To Endmember Identification Algorithms Without The Pure Pixel Assumption
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Recent Developments In Endmember Extraction And Spectral Unmixing
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Improving The Scalability Of Hyperspectral Imaging Applications On Heterogeneous Platforms Using Adaptive Run-Time Data Compression
Near Real-Time Endmember Extraction From Remotely Sensed Hyperspectral Data Using Nvidia Gpus
Improving The Scalability Of Hyperspectral Imaging Applications On Heterogeneous Platforms Using Adaptive Run-Time Data Compression
Near Real-Time Endmember Extraction From Remotely Sensed Hyperspectral Data Using Nvidia Gpus
Parallel Heterogeneous Cbir System For Efficient Hyperspectral Image Retrieval Using Spectral Mixture Analysis
Near Real-Time Endmember Extraction From Remotely Sensed Hyperspectral Data Using Nvidia Gpus
Parallel Heterogeneous Cbir System For Efficient Hyperspectral Image Retrieval Using Spectral Mixture Analysis
Spectral Mixture Analysis Of Hyperspectral Scenes Using Intelligently Selected Training Samples
Parallel Heterogeneous Cbir System For Efficient Hyperspectral Image Retrieval Using Spectral Mixture Analysis
Spectral Mixture Analysis Of Hyperspectral Scenes Using Intelligently Selected Training Samples
Minimum Volume Simplicial Enclosure For Spectral Unmixing Of Remotely Sensed Hyperspectral Data
Spectral Mixture Analysis Of Hyperspectral Scenes Using Intelligently Selected Training Samples
Minimum Volume Simplicial Enclosure For Spectral Unmixing Of Remotely Sensed Hyperspectral Data
Comparative Analysis Of Training Strategies For Neural Network-Based Spectral Unmixing Of Laboratory-Simulated Forest Hyperspectral Scenes
Minimum Volume Simplicial Enclosure For Spectral Unmixing Of Remotely Sensed Hyperspectral Data
Comparative Analysis Of Training Strategies For Neural Network-Based Spectral Unmixing Of Laboratory-Simulated Forest Hyperspectral Scenes
Improving The Performance Of Hyperspectral Image And Signal Processing Algorithms Using Parallel, Distributed And Specialized Hardware-Based Systems
Comparative Analysis Of Training Strategies For Neural Network-Based Spectral Unmixing Of Laboratory-Simulated Forest Hyperspectral Scenes
Improving The Performance Of Hyperspectral Image And Signal Processing Algorithms Using Parallel, Distributed And Specialized Hardware-Based Systems
Automatic Selection Of Informative Samples For Svm-Based Classification Of Hyperspectral Data Using Limited Training Sets
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Automatic Selection Of Informative Samples For Svm-Based Classification Of Hyperspectral Data Using Limited Training Sets
Impact Of Vector Ordering Strategies On Morphological Unmixing Of Remotely Sensed Hyperspectral Images
Automatic Selection Of Informative Samples For Svm-Based Classification Of Hyperspectral Data Using Limited Training Sets
Impact Of Vector Ordering Strategies On Morphological Unmixing Of Remotely Sensed Hyperspectral Images
Improving The Scalability Of Parallel Algorithms For Hyperspectral Image Analysis Using Adaptive Message Compression
Impact Of Vector Ordering Strategies On Morphological Unmixing Of Remotely Sensed Hyperspectral Images
Improving The Scalability Of Parallel Algorithms For Hyperspectral Image Analysis Using Adaptive Message Compression
Parallel Implementation Of Endmember Extraction Algorithms Using Nvidia Graphical Processing Units 5417696
Improving The Scalability Of Parallel Algorithms For Hyperspectral Image Analysis Using Adaptive Message Compression
Parallel Implementation Of Endmember Extraction Algorithms Using Nvidia Graphical Processing Units 5417696
Endmember Extraction From Hyperspectral Imagery Using A Parallel Ensemble Approach With Consensus Analysis
Parallel Implementation Of Endmember Extraction Algorithms Using Nvidia Graphical Processing Units 5417696
Endmember Extraction From Hyperspectral Imagery Using A Parallel Ensemble Approach With Consensus Analysis
Incorporation Of Spatial Constraints Into Spectral Mixture Analysis Of Remotely Sensed Hyperspectral Data
Endmember Extraction From Hyperspectral Imagery Using A Parallel Ensemble Approach With Consensus Analysis
Incorporation Of Spatial Constraints Into Spectral Mixture Analysis Of Remotely Sensed Hyperspectral Data
A Fast Sequential Endmember Extraction Algorithm Based On Unconstrained Linear Spectral Unmixing
Incorporation Of Spatial Constraints Into Spectral Mixture Analysis Of Remotely Sensed Hyperspectral Data
A Fast Sequential Endmember Extraction Algorithm Based On Unconstrained Linear Spectral Unmixing
On The Use Of Small Training Sets For Neural Network-Based Characterization Of Mixed Pixels In Remotely Sensed Hyperspectral Images
A Fast Sequential Endmember Extraction Algorithm Based On Unconstrained Linear Spectral Unmixing
On The Use Of Small Training Sets For Neural Network-Based Characterization Of Mixed Pixels In Remotely Sensed Hyperspectral Images
Lossy Hyperspectral Image Compression Tuned For Spectral Mixture Analysis Applications On Nvidia Graphics Processing Units
On The Use Of Small Training Sets For Neural Network-Based Characterization Of Mixed Pixels In Remotely Sensed Hyperspectral Images
Lossy Hyperspectral Image Compression Tuned For Spectral Mixture Analysis Applications On Nvidia Graphics Processing Units
Massively Parallel Processing Of Remotely Sensed Hyperspectral Images
Lossy Hyperspectral Image Compression Tuned For Spectral Mixture Analysis Applications On Nvidia Graphics Processing Units
Massively Parallel Processing Of Remotely Sensed Hyperspectral Images
Comparative Analysis Of Different Implementations Of A Parallel Algorithm For Automatic Target Detection And Classification Of Hyperspectral Images
Massively Parallel Processing Of Remotely Sensed Hyperspectral Images
Comparative Analysis Of Different Implementations Of A Parallel Algorithm For Automatic Target Detection And Classification Of Hyperspectral Images
Spatial-Spectral Endmember Extraction From Hyperspectral Imagery Using Multi-Band Morphology And Volume Optimization
Comparative Analysis Of Different Implementations Of A Parallel Algorithm For Automatic Target Detection And Classification Of Hyperspectral Images
Spatial-Spectral Endmember Extraction From Hyperspectral Imagery Using Multi-Band Morphology And Volume Optimization
Multi-Channel Morphological Profiles For Classification Of Hyperspectral Images Using Support Vector Machines
Spatial-Spectral Endmember Extraction From Hyperspectral Imagery Using Multi-Band Morphology And Volume Optimization
Multi-Channel Morphological Profiles For Classification Of Hyperspectral Images Using Support Vector Machines
Parallel Morphological Classification Of Hyperspectral Imagery Using Extended Opening And Closing By Reconstruction Operations
Multi-Channel Morphological Profiles For Classification Of Hyperspectral Images Using Support Vector Machines
Parallel Morphological Classification Of Hyperspectral Imagery Using Extended Opening And Closing By Reconstruction Operations
Parallel Processing Of Remotely Sensed Hyperspectral Images On Heterogeneous Networks Of Workstations Using Heterompi
Parallel Morphological Classification Of Hyperspectral Imagery Using Extended Opening And Closing By Reconstruction Operations
Parallel Processing Of Remotely Sensed Hyperspectral Images On Heterogeneous Networks Of Workstations Using Heterompi
Parallel Classification Of Hyperspectral Images Using Neural Networks
Parallel Processing Of Remotely Sensed Hyperspectral Images On Heterogeneous Networks Of Workstations Using Heterompi
Parallel Classification Of Hyperspectral Images Using Neural Networks
Parallel Morphological/neural Processing Of Hyperspectral Images Using Heterogeneous And Homogeneous Platforms
Parallel Classification Of Hyperspectral Images Using Neural Networks
Parallel Morphological/neural Processing Of Hyperspectral Images Using Heterogeneous And Homogeneous Platforms
An Experimental Comparison Of Parallel Algorithms For Hyperspectral Analysis Using Heterogeneous And Homogeneous Networks Of Workstations
Parallel Morphological/neural Processing Of Hyperspectral Images Using Heterogeneous And Homogeneous Platforms
An Experimental Comparison Of Parallel Algorithms For Hyperspectral Analysis Using Heterogeneous And Homogeneous Networks Of Workstations
Parallel Segmentation Of Multi-Channel Images Using Multi-Dimensional Mathematical Morphology
An Experimental Comparison Of Parallel Algorithms For Hyperspectral Analysis Using Heterogeneous And Homogeneous Networks Of Workstations
Parallel Segmentation Of Multi-Channel Images Using Multi-Dimensional Mathematical Morphology
Morphological Feature Extraction And Spectral Unmixing Of Hyperspectral Images
Parallel Segmentation Of Multi-Channel Images Using Multi-Dimensional Mathematical Morphology
Morphological Feature Extraction And Spectral Unmixing Of Hyperspectral Images
Parallel Implementation Of Morphological Neural Networks For Hyperspectral Image Analysis
Morphological Feature Extraction And Spectral Unmixing Of Hyperspectral Images
Parallel Implementation Of Morphological Neural Networks For Hyperspectral Image Analysis
Experiencia Piloto De Adaptación Del Segundo Curso De Ingeniería Técnica En Informática De Sistemas Del Centro Universitario De Mérida De La Universidad De Extremadura Al Espacio Europeo De Educación Superior
Parallel Implementation Of Morphological Neural Networks For Hyperspectral Image Analysis
Experiencia Piloto De Adaptación Del Segundo Curso De Ingeniería Técnica En Informática De Sistemas Del Centro Universitario De Mérida De La Universidad De Extremadura Al Espacio Europeo De Educación Superior
Joint Linear/nonlinear Spectral Unmixing Of Hyperspectral Image Data
Experiencia Piloto De Adaptación Del Segundo Curso De Ingeniería Técnica En Informática De Sistemas Del Centro Universitario De Mérida De La Universidad De Extremadura Al Espacio Europeo De Educación Superior
Joint Linear/nonlinear Spectral Unmixing Of Hyperspectral Image Data
Parallel Cbir System For Efficient Hyperspectral Image Retrieval From Heterogeneous Networks Of Workstations
Joint Linear/nonlinear Spectral Unmixing Of Hyperspectral Image Data
Parallel Cbir System For Efficient Hyperspectral Image Retrieval From Heterogeneous Networks Of Workstations
Efficient Multi-Band Texture Analysis For Remotely Sensed Data Interpretation In Urban Areas
Parallel Cbir System For Efficient Hyperspectral Image Retrieval From Heterogeneous Networks Of Workstations
Efficient Multi-Band Texture Analysis For Remotely Sensed Data Interpretation In Urban Areas
Parallel Detection Of Targets In Hyperspectral Images Using Heterogeneous Networks Of Workstations
Efficient Multi-Band Texture Analysis For Remotely Sensed Data Interpretation In Urban Areas
Parallel Detection Of Targets In Hyperspectral Images Using Heterogeneous Networks Of Workstations
Impact Of Platform Heterogeneity On The Design Of Parallel Algorithms For Morphological Processing Of High-Dimensional Image Data
Parallel Detection Of Targets In Hyperspectral Images Using Heterogeneous Networks Of Workstations
Impact Of Platform Heterogeneity On The Design Of Parallel Algorithms For Morphological Processing Of High-Dimensional Image Data
Parallel Implementation Of Morphological Neural Networks For Hyperspectral Image Analysis
Impact Of Platform Heterogeneity On The Design Of Parallel Algorithms For Morphological Processing Of High-Dimensional Image Data
Parallel Implementation Of Morphological Neural Networks For Hyperspectral Image Analysis
Parallel Wildland Fire Monitoring And Tracking Using Remotely Sensed Data
Parallel Implementation Of Morphological Neural Networks For Hyperspectral Image Analysis
Parallel Wildland Fire Monitoring And Tracking Using Remotely Sensed Data
Parallel Segmentation Of Multi-Channel Images Using Multi-Dimensional Mathematical Morphology
Parallel Wildland Fire Monitoring And Tracking Using Remotely Sensed Data
Parallel Segmentation Of Multi-Channel Images Using Multi-Dimensional Mathematical Morphology
Parallel Morphological/neural Classification Of Remote Sensing Images Using Fully Heterogeneous And Homogeneous Commodity Clusters
Parallel Segmentation Of Multi-Channel Images Using Multi-Dimensional Mathematical Morphology
Parallel Morphological/neural Classification Of Remote Sensing Images Using Fully Heterogeneous And Homogeneous Commodity Clusters
Distributed Computing For Efficient Hyperspectral Imaging Using Fully Heterogeneous Networks Of Workstations
Parallel Morphological/neural Classification Of Remote Sensing Images Using Fully Heterogeneous And Homogeneous Commodity Clusters
Distributed Computing For Efficient Hyperspectral Imaging Using Fully Heterogeneous Networks Of Workstations
Commodity Cluster And Hardware-Based Massively Parallel Implementations Of Hyperspectral Imaging Algorithms
Distributed Computing For Efficient Hyperspectral Imaging Using Fully Heterogeneous Networks Of Workstations
Commodity Cluster And Hardware-Based Massively Parallel Implementations Of Hyperspectral Imaging Algorithms
Parallel Implementation Of Endmember Extraction Algorithms From Hyperspectral Data
Commodity Cluster And Hardware-Based Massively Parallel Implementations Of Hyperspectral Imaging Algorithms
Parallel Implementation Of Endmember Extraction Algorithms From Hyperspectral Data
Commodity Cluster-Based Parallel Processing Of Hyperspectral Imagery
Parallel Implementation Of Endmember Extraction Algorithms From Hyperspectral Data
Commodity Cluster-Based Parallel Processing Of Hyperspectral Imagery
Parallel Implementation Of Hyperspectral Image Processing Algorithms
Commodity Cluster-Based Parallel Processing Of Hyperspectral Imagery
Parallel Implementation Of Hyperspectral Image Processing Algorithms
Parallel Hyperspectral Image Processing On Commodity Graphics Hardware
Parallel Implementation Of Hyperspectral Image Processing Algorithms
Parallel Hyperspectral Image Processing On Commodity Graphics Hardware
High-Performance Computing In Remotely Sensed Hyperspectral Imaging: The Pixel Purity Index Algorithm As A Case Study
Parallel Hyperspectral Image Processing On Commodity Graphics Hardware
High-Performance Computing In Remotely Sensed Hyperspectral Imaging: The Pixel Purity Index Algorithm As A Case Study
Ameepar: Parallel Morphological Algorithm For Hyperspectral Image Classification On Heterogeneous Networks Of Workstations
High-Performance Computing In Remotely Sensed Hyperspectral Imaging: The Pixel Purity Index Algorithm As A Case Study
Ameepar: Parallel Morphological Algorithm For Hyperspectral Image Classification On Heterogeneous Networks Of Workstations
Endmember Extraction Algorithms From Hyperspectral Images
Ameepar: Parallel Morphological Algorithm For Hyperspectral Image Classification On Heterogeneous Networks Of Workstations
Endmember Extraction Algorithms From Hyperspectral Images
Efficient Information Extraction From Hyperspectral Imagery Using Networks Of Workstations
Endmember Extraction Algorithms From Hyperspectral Images
Efficient Information Extraction From Hyperspectral Imagery Using Networks Of Workstations
Automated Generation Of Semi-Labeled Training Samples For Nonlinear Neural Network-Based Abundance Estimation In Hyperspectral Data
Efficient Information Extraction From Hyperspectral Imagery Using Networks Of Workstations
Automated Generation Of Semi-Labeled Training Samples For Nonlinear Neural Network-Based Abundance Estimation In Hyperspectral Data
Mapping Oil Spills On Sea Water Using Spectral Mixture Analysis Of Hyperspectral Image Data
Automated Generation Of Semi-Labeled Training Samples For Nonlinear Neural Network-Based Abundance Estimation In Hyperspectral Data
Mapping Oil Spills On Sea Water Using Spectral Mixture Analysis Of Hyperspectral Image Data
An Experimental Evaluation Of Endmember Generation Algorithms
Mapping Oil Spills On Sea Water Using Spectral Mixture Analysis Of Hyperspectral Image Data
An Experimental Evaluation Of Endmember Generation Algorithms
On The Generation Of Training Samples For Neural Network-Based Mixed Pixel Classification
An Experimental Evaluation Of Endmember Generation Algorithms
On The Generation Of Training Samples For Neural Network-Based Mixed Pixel Classification
Dimensionality Reduction And Classification Of Hyperspectral Image Data Using Sequences Of Extended Morphological Transformations
On The Generation Of Training Samples For Neural Network-Based Mixed Pixel Classification
Dimensionality Reduction And Classification Of Hyperspectral Image Data Using Sequences Of Extended Morphological Transformations
On The Use Of Cluster Computing Architectures For Implementation Of Hyperspectral Image Analysis Algorithms
Dimensionality Reduction And Classification Of Hyperspectral Image Data Using Sequences Of Extended Morphological Transformations
On The Use Of Cluster Computing Architectures For Implementation Of Hyperspectral Image Analysis Algorithms
Archaeological Sites Studies Based On Neural Computation Techniques
On The Use Of Cluster Computing Architectures For Implementation Of Hyperspectral Image Analysis Algorithms
Archaeological Sites Studies Based On Neural Computation Techniques
Pre-Evaluation Of Wild Fires In Monfragüe Regional Park Using Chris Imagery
Archaeological Sites Studies Based On Neural Computation Techniques
Pre-Evaluation Of Wild Fires In Monfragüe Regional Park Using Chris Imagery
Analysis Of The Behaviour Of A Neural Network Model In The Identification And Quantification Of Hyperspectral Signatures Applied To The Determination Of Water Quality
Pre-Evaluation Of Wild Fires In Monfragüe Regional Park Using Chris Imagery
Analysis Of The Behaviour Of A Neural Network Model In The Identification And Quantification Of Hyperspectral Signatures Applied To The Determination Of Water Quality
Nonlinear Neural Network-Based Mixture Model For Estimating The Concentration Of Nitrogen Salts In Turbid Inland Waters Using Hyperspectral Imagery
Analysis Of The Behaviour Of A Neural Network Model In The Identification And Quantification Of Hyperspectral Signatures Applied To The Determination Of Water Quality
Nonlinear Neural Network-Based Mixture Model For Estimating The Concentration Of Nitrogen Salts In Turbid Inland Waters Using Hyperspectral Imagery
A New Approach To Mixed Pixel Classification Of Hyperspectral Imagery Based On Extended Morphological Profiles
Nonlinear Neural Network-Based Mixture Model For Estimating The Concentration Of Nitrogen Salts In Turbid Inland Waters Using Hyperspectral Imagery
A New Approach To Mixed Pixel Classification Of Hyperspectral Imagery Based On Extended Morphological Profiles
Nonlinear Mixture Models For Analyzing Laboratory Simulated-Forest Hyperspectral Data
A New Approach To Mixed Pixel Classification Of Hyperspectral Imagery Based On Extended Morphological Profiles
Nonlinear Mixture Models For Analyzing Laboratory Simulated-Forest Hyperspectral Data
Hyperspectral Image Analysis By Scale-Orientation Morphological Profiles
Nonlinear Mixture Models For Analyzing Laboratory Simulated-Forest Hyperspectral Data
Hyperspectral Image Analysis By Scale-Orientation Morphological Profiles
A Quantitative And Comparative Analysis Of Endmember Extraction Algorithms From Hyperspectral Data
Hyperspectral Image Analysis By Scale-Orientation Morphological Profiles
A Quantitative And Comparative Analysis Of Endmember Extraction Algorithms From Hyperspectral Data
Spatial/spectral Analysis Of Hyperspectral Image Data
A Quantitative And Comparative Analysis Of Endmember Extraction Algorithms From Hyperspectral Data
Spatial/spectral Analysis Of Hyperspectral Image Data
A New Method For Target Detection In Hyperspectral Imagery Based On Extended Morphological Profiles
Spatial/spectral Analysis Of Hyperspectral Image Data
A New Method For Target Detection In Hyperspectral Imagery Based On Extended Morphological Profiles
H-Comp: A Tool For Quantitative And Comparative Analysis Of Endmember Identification Algorithms
A New Method For Target Detection In Hyperspectral Imagery Based On Extended Morphological Profiles
H-Comp: A Tool For Quantitative And Comparative Analysis Of Endmember Identification Algorithms
Spatial/spectral Endmember Extraction By Multidimensional Morphological Operations
H-Comp: A Tool For Quantitative And Comparative Analysis Of Endmember Identification Algorithms
Spatial/spectral Endmember Extraction By Multidimensional Morphological Operations
Aplicación Adaptativa Basada En Computación Neuronal Para Ayuda A La Comunicación Con El Ordenador De Ususarios Discapacitados.
Spatial/spectral Endmember Extraction By Multidimensional Morphological Operations
Aplicación Adaptativa Basada En Computación Neuronal Para Ayuda A La Comunicación Con El Ordenador De Ususarios Discapacitados.
Hyperspectral And Multispectral Image Fusion For Remotely Sensed Target Detection: A New Cloud-Edge Collaborative Approach
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