Publications

QSphericalStats: enhancing geospatial analysis with spherical statistical insights in QGIS

AI-driven meta-model for cybersecurity in next-generation networks using multilayer extreme learning machine

A Physics-Guided Diffusion Unmixing Model for Global Lunar Mineral Abundance Mapping

Distributed Parallel Hyperspectral Unmixing for Large-Scale Data in Spark Environments via Geometric Distance

DenseMixerMamba: Residual Mixing for Spectral-Spatial Hyperspectral Image Classification

PIDLF+: A Novel Adaptive PIDLF for Forestry Height Mapping Based on Single Baseline PolInSAR Data

A Novel Spectral-Spatial Attention Network for Zero-Shot Pansharpening

Cerebral ischemia detection using deep learning techniques

KACNet: Kolmogorov-Arnold Convolution Network for Hyperspectral Anomaly Detection

REDU-Net: Robust and Efficient Dynamic Unfolding Network for Abundance Estimation

Deep shared proxy construction hashing for cross-modal remote sensing image fast target retrieval

SMCNet: Sparse-inspired Masked Convolutional Network for Hyperspectral Anomaly Detection

Transformer-Enhanced CNN based on Intensive Feature for Hyperspectral Unmixing

Decentralized Mechanism for Edge Node Allocation in Access Network: An Experimental Evaluation

Hyperspectral Image Analysis Using Cloud-Based Support Vector Machines

Federated Learning Meets Remote Sensing

Cross Hyperspectral and LiDAR Attention Transformer: An Extended Self-Attention for Land Use and Land Cover Classification

Hash-based Remote Sensing Image Retrieval

An Abundance-Guided Attention Network for Hyperspectral Unmixing

Hashing for Retrieving Long-tailed Distributed Remote Sensing Images

Cloud-Based Analysis of Large-Scale Hyperspectral Imagery for Oil Spill Detection

Background-guided Deformable Convolutional Autoencoder for Hyperspectral Anomaly Detection

Enhancing Distributed Neural Network Training through Node-Based Communications

CIT: Content-invariant translation with hybrid attention mechanism for unsupervised change detection

Cloud Implementation of Extreme Learning Machine for Hyperspectral Image Classification

Parameter-Free Attention Network for Spectral-Spatial Hyperspectral Image Classification

Novel Spectral Loss Function for Unsupervised Hyperspectral Image Segmentation

A Comprehensive Survey of Imbalance Correction Techniques for Hyperspectral Data Classification

AAtt-CNN: Automatic Attention-Based Convolutional Neural Networks for Hyperspectral Image Classification

QCircularStats: A QGIS-Plugin for Evaluation Bidimensional Data by Circular Statistics

Central Cohesion Gradual Hashing for Remote Sensing Image Retrieval

Spectral-Spatial Morphological Attention Transformer for Hyperspectral Image Classification

Heterogeneous gradient computing optimization for scalable deep neural networks

A New Deep Convolutional Network for Effective Hyperspectral Unmixing

On Training Set Selection in Spatial Deep Learning

Hyperspectral Anomaly Detection With Relaxed Collaborative Representation

Remote Sensing Image Classification Using CNNs With Balanced Gradient for Distributed Heterogeneous Computing

Fast Orthogonal Projection for Hyperspectral Unmixing

Efficient Semantic Segmentation of Hyperspectral Images Using Adaptable Rectangular Convolution

Endmember Estimation from Hyperspectral Images Using Geometric Distances

Multiple Attention-Guided Capsule Networks for Hyperspectral Image Classification

Separable Attention Network in Single- And Mixed-Precision Floating Point for Land-Cover Classification

Generative Adversarial Minority Oversampling for Spectral-Spatial Hyperspectral Image Classification

GPU-Friendly Neural Networks for Remote Sensing Scene Classification

GhostNet for Hyperspectral Image Classification

Adaptable convolutional network for hyperspectral image classification

Distributed Deep Learning for Remote Sensing Data Interpretation

Deep mixed precision for hyperspectral image classification

U-IMG2DSM: Unpaired Simulation of Digital Surface Models with Generative Adversarial Networks

FLOP-Reduction through Memory Allocations within CNN for Hyperspectral Image Classification

Heterogeneous Model Parallelism for Deep Neural Networks

Multibranch Selective Kernel Networks for Hyperspectral Image Classification

Endmember estimation with maximum distance analysis

Analyzing the users’ acceptance of an IoT cloud platform using the UTAUT/TAM model

Morphological Convolutional Neural Networks for Hyperspectral Image Classification

SiCoDeF2 Net: Siamese Convolution Deconvolution Feature Fusion Network for One-Shot Classification

Analysis of Remotely Sensed Images through Social Media

Training deep neural networks: a static load balancing approach

Scalable recurrent neural network for hyperspectral image classification

Neighboring Region Dropout for Hyperspectral Image Classification

A new GPU implementation of support vector machines for fast hyperspectral image classification

A Single Model CNN for Hyperspectral Image Denoising

Neural Ordinary Differential Equations for Hyperspectral Image Classification

Inference in supervised spectral classifiers for on-board hyperspectral imaging: An overview

Rotation equivariant convolutional neural networks for hyperspectral image classification

Cloud Implementation of Multinomial Logistic Regression for UAV Hyperspectral Images

Cloud Deep Networks for Hyperspectral Image Analysis

Deep Learning Classifiers for Hyperspectral Imaging: A Review

Hyperspectral Image Classification Using Random Occlusion Data Augmentation

Remote Sensing Image Superresolution Using Deep Residual Channel Attention

Visual Attention-Driven Hyperspectral Image Classification

Remote sensing single-image superresolution based on a deep compendium model

GPU Parallel Implementation of Dual-Depth Sparse Probabilistic Latent Semantic Analysis for Hyperspectral Unmixing

Low-High-Power Consumption Architectures for Deep-Learning Models Applied to Hyperspectral Image Classification

Capsule Networks for Hyperspectral Image Classification

Deep Pyramidal Residual Networks for Spectral-Spatial Hyperspectral Image Classification

Feature Extraction with Multiscale Covariance Maps for Hyperspectral Image Classification

A comparative study of techniques for hyperspectral image classification

A new deep generative network for unsupervised remote sensing single-image super-resolution

Active learning with convolutional neural networks for hyperspectral image classification using a new Bayesian approach

A new deep convolutional neural network for fast hyperspectral image classification

Fast dimensionality reduction and classification of hyperspectral images with extreme learning machines

Deep and Dense convolutional neural network for hyperspectral image classification

Multimodal probabilistic latent semantic analysis for Sentinel-1 and Sentinel-2 image fusion

Remote Sensing Image Fusion Using Hierarchical Multimodal Probabilistic Latent Semantic Analysis

Cloud implementation of the K-means algorithm for hyperspectral image analysis

Efficient Hyperspectral Band Selection and Classification Based on Actor-Critic Policy

A Big Data Library for Rice Yield Index Calculations with Apache Spark

Accelerating 3D Convolutions for Hyperspectral Image Analysis Using Triton on GPUs

Self-Supervised Quantization-Aware Knowledge Distillation for 3D CNNs in Hyperspectral Image Classification

A Decentralised and Scalable Approach for Intrusion Detection in Cybersecurity Networks

Correlation-aware Averaging for Federated Learning in Remote Sensing Data Classification

Deep Robust Hashing Using Self-Distillation for Remote Sensing Image Retrieval

Typical Mineral Abundance Estimation of Chang’e-3 Yutu Rover with Hyperspectral Data Based on Diffusion Autoencoder Unmixing Model

Deep Unrolling Network with Active Dictionary Learning for Hyperspectral Anomaly Detection

Detection of cerebral ischaemia using transfer learning techniques

PyCircularStats: A Python-Based Tool for Remote Sensing Circular Statistics and Graphical Analysis

Optimizing Distributed Deep Learning in Heterogeneous Computing Platforms for Remote Sensing Data Classification

Adaptive Dictionary Construction for Hyperspectral Anomaly Detection Based on Collaborative Representation

A New 3D Convolution Network for Hyperspectral Unmixing

Bi-Dimensional Vector Data Analysis of Positional Accuracy of Landsat-8 Image with PyCircularStats

Deep Attention-Driven HSI Scene Classification Based on Inverted Dot-Product

On the Evaluation of Machine Learning Algorithms for HSI Classification on a Heterogeneous Computing Device

A recommendation system for electronic health records in the context of the HOPE project

Studying the students’ learning in LoT@UNED

A New Max-Min Convolutional Network for Hyperspectral Image Classification

Multiple Incremental Kernel Convolution for Land Cover Classification of Remotely Sensed Images

Adapting Kernels for Hyperspectral Image Classification

Cloud Deep Convolutional Neural Network for Hyperspectral Image Analysis

Hyperspectral Image Analysis with Cloud SVM

Single Board Computers for Efficient On-Board Multispectral Image Processing

Training Capsnets via Active Learning for Hyperspectral Image Classification

Efficient Networks for Remote Sensing Image Processing

Efficient Convolutional Neural Network for Spectral-Spatial Hyperspectral Denoising

Solving Deep Neural Networks with Ordinary Differential Equations for Remotely Sensed Hyperspectral Image Classification

Open Multi-Processing Acceleration for Unsupervised Land Cover Categorization Using Probabilistic Latent Semantic Analysis

Accessibility-Free Active Learning for Hyperspectral Image Classification

Exploring Distributed Deep Network Training Accuracy and Performance on Heterogeneous Clusters

Scalable Recurrent Neural Network for Spectral-Spatial Classification of Hyperspectral Images

Evaluation of different regularization methods for the extreme learning machine applied to hyperspectral images

An investigation on self-normalized deep neural networks for hyperspectral image classification

Inter-sensor regression analysis for operational Sentinel-2 and Sentinel-3 data products

Cloud Implementation of a Neural Classifier for Remotely Sensed Hyperspectral Images

Multicore implementation of the multi-scale adaptive deep pyramid matching model for remotely sensed image classification

Onboard payload-data dimensionality reduction

Cloud Implementation of Logistic Regression for Hyperspectral Image Classification

Yinyang K-means Clustering for Hyperspectral Image Analysis

A navigation agent for mobile manipulators

Cloud Implementation of the K-Means Algorithm for Hyperspectral Image Analysis

A Navigation Agent for Mobile Manipulators

Code2bot, a social robot for the classroom

Aceleración de Operaciones Convolucionales en GPU mediante Triton

Implementación Paralela y Distribuida de Desmezclado Hiperespectral Usando Distancias Geométricas

Monitorización del Rendimiento Computacional y la Eficiencia Energética en Deep Learning

Desarrollo de una Implementación Distribuida en el Framework Hive para Detección de Catástrofes Naturales

Mejora del Entrenamiento de Redes Neuronales Distribuidas a través de Comunicaciones entre Nodos

Implementación Cloud del algoritmo MLR para clasificación de imágenes hiperespectrales

x8064: Herramienta para el aprendizaje de ensamblador en arquitecturas actuales

Red Recurrente Masivamente Paralela para Clasificación de Imagen Hiperespectral

Equilibrado del Entrenamiento Distribuido de Redes Neuronales Profundas en Plataformas Heterogéneas

Generación de Modelos Digitales de Elevaciones Sintéticos a través de Redes Profundas Antagónicas

Evaluación de Rendimiento del Entrenamiento Distribuido de Redes Neuronales Profundas en Plataformas Heterogéneas

Nueva implementación paralela en GPUs del algoritmo pLSA para desmezclado de imágenes hiperespectrales

Una nueva plataforma social para el procesamiento de imágenes hiperespectrales de manera masiva

Una única arquitectura neuronal profunda para eliminar ruido en imágenes hiperespectrales

Red Neuronal Profunda Distribuida Para Compresión de Imágenes Hiperespectrales

Competencia Digital

Evaluación de rendimiento de una implementación Cloud para un clasificador neuronal aplicado a imágenes hiperespectrales

Learnbot: aprender el pasado con nuevas tecnologías

Learnbot: aprendizaje colaborativo con robots