Literals
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Typed Literals
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Relations
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- ARQUITECTURA Y ORGANIZACIÓN DE COMPUTADORES
- ESTRUCTURA DE COMPUTADORES
- TECNOLOGÍA DE COMPUTADORES
- ARQUITECTURA Y ORGANIZACIÓN DE COMPUTADORES
- ARQUITECTURA Y ORGANIZACIÓN DE COMPUTADORES
- ARQUITECTURA Y ORGANIZACIÓN DE COMPUTADORES
- ESTRUCTURA DE COMPUTADORES
- ESTRUCTURA DE COMPUTADORES
- ESTRUCTURA DE COMPUTADORES
- ESTRUCTURA DE COMPUTADORES
- ESTRUCTURA DE COMPUTADORES
- INICIACIÓN A LA INVESTIGACIÓN TECNOLÓGICA
- PRÁCTICAS EXTERNAS
- TECNOLOGÍA DE COMPUTADORES
- TECNOLOGÍA DE COMPUTADORES
- TECNOLOGÍA DE COMPUTADORES
- TECNOLOGÍA DE COMPUTADORES
- TECNOLOGÍAS DE LA COMUNICACIÓN Y LA DOCUMENTACIÓN CIENTÍFICA
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- A New 3D Convolution Network for Hyperspectral Unmixing
- A New Deep Convolutional Network for Effective Hyperspectral Unmixing
- A New Method for Target Detection in Hyperspectral Imagery Based on Extended Morphological Profiles
- A New Spatial-Spectral Feature Extraction Method for Hyperspectral Images Using Local Covariance Matrix Representation
- A Single Model CNN for Hyperspectral Image Denoising
- A comparative study of techniques for hyperspectral image classification
- A fast sequential endmember extraction algorithm based on unconstrained linear spectral unmixing
- A new GPU implementation of support vector machines for fast hyperspectral image classification
- A 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 minimum-volume enclosing algorithm for endmember identification and abundance estimation in hyperspectral data
- A quantitative and comparative analysis of endmember extraction algorithms from hyperspectral data
- A real-time unsupervised background extraction-based target detection method for hyperspectral imagery
- AMEEPAR: Parallel morphological algorithm for hyperspectral image classification on heterogeneous networks of workstations
- Active learning with convolutional neural networks for hyperspectral image classification using a new bayesian approach
- Adaptive Dictionary Construction for Hyperspectral Anomaly Detection Based on Collaborative Representation
- Advanced Spectral Classifiers for Hyperspectral Images: A review
- Advances in Hyperspectral Image and Signal Processing: A Comprehensive Overview of the State of the Art
- An Efficient and Scalable Framework for Processing Remotely Sensed Big Data in Cloud Computing Environments
- An experimental comparison of parallel algorithms for hyperspectral analysis using heterogeneous and homogeneous networks of workstations
- An experimental evaluation of endmember generation algorithms
- An investigation on self-normalized deep neural networks for hyperspectral image classification
- An iterative enhancement of higher order nonlinear mixture model for accurate hyperspectral unmixing
- Analysis of Remotely Sensed Images through Social Media
- Analysis of the behaviour of a neural network model in the identification and quantification of hyperspectral signatures applied to the determination of water quality
- Aplicación adaptativa basada en computación neuronal para ayuda a la comunicación con el ordenador de ususarios discapacitados.
- Archaeological sites studies based on neural computation techniques
- Automated generation of semi-labeled training samples for nonlinear neural network-based abundance estimation in hyperspectral data
- Automatic selection of informative samples for SVM-based classification of hyperspectral data using limited training sets
- CE-RX: A Collaborative Cloud-Edge Anomaly Detection Approach for Hyperspectral Images
- Capsule Networks for Hyperspectral Image Classification
- Central Cohesion Gradual Hashing for Remote Sensing Image Retrieval
- Cloud deep networks for hyperspectral image analysis
- Cloud implementation of the K-means algorithm for hyperspectral image analysis
- Commodity cluster and hardware-based massively parallel implementations of hyperspectral imaging algorithms
- Commodity cluster-based parallel processing of hyperspectral imagery
- Comparative analysis of training strategies for neural network-based spectral unmixing of laboratory-simulated forest hyperspectral scenes
- Comparative analysis of different implementations of a parallel algorithm for automatic target detection and classification of hyperspectral images
- Deep & Dense convolutional neural network for hyperspectral image classification
- Deep learning classifiers for hyperspectral imaging: A review
- Deep pyramidal residual networks for spectral-spatial hyperspectral image classification
- Dimensionality reduction and classification of hyperspectral image data using sequences of extended morphological transformations
- Distributed Deep Learning for Remote Sensing Data Interpretation
- Distributed Nonlocal Coupled Hierarchical Tucker Decomposition for Hyperspectral Image Fusion
- Distributed computing for efficient hyperspectral imaging using fully heterogeneous networks of workstations
- Efficient Convolutional Neural Network for Spectral-Spatial Hyperspectral Denoising
- Efficient implementation of morphological index for building/shadow extraction from remotely sensed images
- Efficient information extraction from hyperspectral imagery using networks of workstations
- Efficient multi-band texture analysis for remotely sensed data interpretation in urban areas
- Endmember Estimation from Hyperspectral Images Using Geometric Distances
- Endmember estimation with maximum distance analysis
- Endmember extraction from hyperspectral imagery using a parallel ensemble approach with consensus analysis
- Endmember extraction algorithms from hyperspectral images
- Estimating nonlinearities in p-linear hyperspectral mixtures
- Evaluation of different regularization methods for the extreme learning machine applied to hyperspectral images
- 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
- FLOP-Reduction through Memory Allocations within CNN for Hyperspectral Image Classification
- Fast Orthogonal Projection for Hyperspectral Unmixing
- Fast Spatial Preprocessing for Spectral Unmixing of Hyperspectral Data on Graphics Processing Units
- Fast dimensionality reduction and classification of hyperspectral images with extreme learning machines
- Fast spatial-spectral preprocessing for endmember extraction and spectral unmixing using graphic processing units
- Feature extraction with multiscale covariance maps for hyperspectral image classification
- Fusion of Hyperspectral and LiDAR Data Using Sparse and Low-Rank Component Analysis
- GPU Implementation of Spatial-Spectral Preprocessing for Hyperspectral Unmixing
- GPU Parallel Implementation of Spatially Adaptive Hyperspectral Image Classification
- GPU Parallel Implementation of Dual-Depth Sparse Probabilistic Latent Semantic Analysis for Hyperspectral Unmixing
- GPU implementation of spatial preprocessing for spectral unmixing of hyperspectral data
- GPU-Friendly Neural Networks for Remote Sensing Scene Classification
- Ghostnet for Hyperspectral Image Classification
- H-COMP: A Tool for Quantitative and Comparative Analysis of Endmember Identification Algorithms
- High-performance computing in remotely sensed hyperspectral imaging: The pixel purity index algorithm as a case study
- Hyperspectral Anomaly Detection With Relaxed Collaborative Representation
- Hyperspectral Data Processing Algorithms
- Hyperspectral Image Classification Using Random Occlusion Data Augmentation
- Hyperspectral and Multispectral Image Fusion Target Detection based on Cloud-Edge Collaboration
- Hyperspectral image analysis by scale-orientation morphological profiles
- Hyperspectral image classification using parallel autoencoding diabolo networks on multi-core and many-core architectures
- Hyperspectral unmixing based on dual-depth sparse probabilistic latent semantic analysis
- Impact of platform heterogeneity on the design of parallel algorithms for morphological processing of high-dimensional image data
- Impact of vector ordering strategies on morphological unmixing of remotely sensed hyperspectral images
- Impervious surface extraction from multispectral images using morphological attribute profiles and spectral mixture analysis
- Improving the performance of hyperspectral image and signal processing algorithms using parallel, distributed and specialized hardware-based systems
- Improving the scalability of parallel algorithms for hyperspectral image analysis using adaptive message compression
- Improving the scalability of hyperspectral imaging applications on heterogeneous platforms using adaptive run-time data compression
- Incorporation of spatial constraints into spectral mixture analysis of remotely sensed hyperspectral data
- Integrating multiple nonlinear estimators into hyperspectral unmixing
- Inter-sensor regression analysis for operational sentinel-2 and sentinel-3 data products
- Joint linear/nonlinear spectral unmixing of hyperspectral image data
- Lossy hyperspectral image compression tuned for spectral mixture analysis applications on NVidia graphics processing units
- Low-High-Power Consumption Architectures for Deep-Learning Models Applied to Hyperspectral Image Classification
- MULTIPLE INCREMENTAL KERNEL CONVOLUTION FOR LAND COVER CLASSIFICATION OF REMOTELY SENSED IMAGES
- Mapping oil spills on sea water using spectral mixture analysis of hyperspectral image data
- Massively parallel processing of remotely sensed hyperspectral images
- Minimum volume simplicial enclosure for spectral unmixing of remotely sensed hyperspectral data
- Morphological feature extraction and spectral unmixing of hyperspectral images
- Multi-Task Learning with Low-Rank Matrix Factorization for Hyperspectral Nonlinear Unmixing
- Multi-channel morphological profiles for classification of hyperspectral images using support vector machines
- Multibranch Selective Kernel Networks for Hyperspectral Image Classification
- Multicore Real-Time Implementation of a Full Hyperspectral Unmixing Chain
- Multicore implementation of the multi-scale adaptive deep pyramid matching model for remotely sensed image classification
- Multimodal probabilistic latent semantic analysis for Sentinel-1 and Sentinel-2 image fusion
- Near real-time endmember extraction from remotely sensed hyperspectral data using NVidia GPUs
- Neighboring Region Dropout for Hyperspectral Image Classification
- Neural Ordinary Differential Equations for Hyperspectral Image Classification
- Nonlinear Hyperspectral Unmixing Using Nonlinearity Order Estimation and Polytope Decomposition
- Nonlinear mixture models for analyzing laboratory simulated-forest hyperspectral data
- Nonlinear neural network-based mixture model for estimating the concentration of nitrogen salts in turbid inland waters using hyperspectral imagery
- Nueva implementación paralela en GPUs del algoritmo pLSA para desmezclado de imágenes hiperespectrales
- On endmember identification in hyperspectral images without pure pixels: A comparison of algorithms
- On the Evaluation of Machine Learning Algorithms for Hyperspectral Image Classification on a Heterogeneous Computing Device
- On the generation of training samples for neural network-based mixed pixel classification
- On the incorporation of spatial information to endmember identification algorithms without the pure pixel assumption
- On the minimum volume simplex enclosure problem for estimating a linear mixing model
- On the optimization of memory access to increase the performance of spatial preprocessing techniques on graphics processing units
- On the use of cluster computing architectures for implementation of hyperspectral image analysis algorithms
- On the use of small training sets for neural network-based characterization of mixed pixels in remotely sensed hyperspectral images
- Onboard payload-data dimensionality reduction
- Open Multi-Processing Acceleration for Unsupervised Land Cover Categorization Using Probabilistic Latent Semantic Analysis
- Parallel CBIR system for efficient hyperspectral image retrieval from heterogeneous networks of workstations
- Parallel Implementation of Spatial-Spectral Endmember Extraction on Graphic Processing Units
- Parallel Implementation of Morphological Neural Networks for Hyperspectral Image Analysis
- Parallel classification of hyperspectral images using neural networks
- Parallel detection of targets in hyperspectral images using heterogeneous networks of workstations
- Parallel heterogeneous CBIR system for efficient hyperspectral image retrieval using spectral mixture analysis
- Parallel hyperspectral image and signal processing
- Parallel hyperspectral image processing on commodity graphics hardware
- Parallel implementation of endmember extraction algorithms using nvidia graphical processing units 5417696
- Parallel implementation of hyperspectral image processing algorithms
- Parallel implementation of endmember extraction algorithms from hyperspectral data
- Parallel implementation of linear and nonlinear spectral unmixing of remotely sensed hyperspectral images
- Parallel implementation of morphological neural networks for hyperspectral image analysis
- Parallel morphological/neural classification of remote sensing images using fully heterogeneous and homogeneous commodity clusters
- Parallel morphological classification of hyperspectral imagery using extended opening and closing by reconstruction operations
- Parallel morphological/neural processing of hyperspectral images using heterogeneous and homogeneous platforms
- Parallel processing of remotely sensed hyperspectral images on heterogeneous networks of workstations using heterompi
- Parallel segmentation of multi-channel images using multi-dimensional mathematical morphology
- Parallel segmentation of multi-channel images using multi-dimensional mathematical morphology
- Parallel wildland fire monitoring and tracking using remotely sensed data
- Pre-evaluation of wild fires in monfragüe regional park using CHRIS imagery
- Radiometric Calibration of Fengyun-3D Mersi-II Satellite: A Case Study in Lake Qinghai, China
- Recent Developments in Endmember Extraction and Spectral Unmixing
- Remote Sensing Image Fusion Using Hierarchical Multimodal Probabilistic Latent Semantic Analysis
- Remote Sensing Image Superresolution Using Deep Residual Channel Attention
- Remote sensing scene classification using multilayer stacked covariance pooling
- Remote sensing single-image superresolution based on a deep compendium model
- Robust Matrix Discriminative Analysis for Feature Extraction from Hyperspectral Images
- SUBSPACE OPTIMAL TRANSPORT FOR SPATIAL BIAS CORRECTION OF SOCIAL MEDIA DATA: A CASE STUDY OF 2013 BOULDER FLOOD EVENT
- Scalable recurrent neural network for hyperspectral image classification
- Skip-Connected Covariance Network for Remote Sensing Scene Classification
- Social Media: New Perspectives to Improve Remote Sensing for Emergency Response
- Solving Deep Neural Networks with Ordinary Differential Equations for Remotely Sensed Hyperspectral Image Classification
- Spatial Bias Correction of Social Media Data by Exploiting Remote Sensing Knowledge in Data-Deficient Regions
- Spatial Downscaling for Global Precipitation Measurement Using a Geographically and Temporally Weighted Regression Model
- Spatial weighted sparse regression for hyperspectral image unmixing
- Spatial-spectral endmember extraction from hyperspectral imagery using multi-band morphology and volume optimization
- Spatial-spectral preprocessing for endmember extraction on GPU's
- Spatial/Spectral analysis of hyperspectral image data
- Spatial/spectral endmember extraction by multidimensional morphological operations
- Special issue on advances in real-time image processing for remote sensing
- Spectral mixture analysis of hyperspectral scenes using intelligently selected training samples
- Stacked nonnegative sparse autoencoders for robust hyperspectral unmixing
- The Detection of Concealed Targets in Woodland Areas using Hyperspectral Imagery
- Training Capsnets via Active Learning for Hyperspectral Image Classification
- Training deep neural networks: a static load balancing approach
- U-IMG2DSM: Unpaired Simulation of Digital Surface Models with Generative Adversarial Networks
- Visual Attention-Driven Hyperspectral Image Classification
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Inverse Relations
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- Hypermix: Una Nueva Herramienta Para El Desmezclado De Imágenes Hiperespectrales En Gpus
- Nuevas Técnicas Para El Procesamiento Masivo De Datos De Observación Remota De La Tierra
- Predicción De Abandono De Clientes Mediante Modelos De Aprendizaje Automático De Supervivencia Híbridos
- Procesamiento Eficiente Y Profundo De Imágenes Hiperespectrales De La Observación Remota De La Tierra Y Aplicaciones En Tareas De Clasificación
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