Publications

Using heterogeneous computing and edge computing to accelerate anomaly detection in remotely sensed multispectral images

A Summer School Session on Mastering Geospatial Artificial Intelligence: From Data Production to Artificial Intelligence Foundation Model Development and Downstream Applications

Implementación paralela del algoritmo HSI-MSER para el registro de imágenes hiperespectrales

Prospective comparison of SURF and binary keypoint descriptors for fast hyperspectral remote sensing registration

Accelerated Extinction Profiles for Anomaly Detection in Fluvial Ecosystems

Consensus Techniques for Unsupervised Binary Change Detection Using Multi-Scale Segmentation Detectors for Land Cover Vegetation Images

ResBaGAN: a Residual Balancing GAN with data augmentation for forest maping

Euro-Par 2022: Parallel Processing Workshops

A Hybrid CUDA, OpenMP, and MPI Parallel TCA-based Domain Adaptation for Classification of Very High-Resolution Remote Sensing Images

Impacto de la segmentación en superpíxeles sobre clasificadores de imágenes multiespectrales basados en aprendizaje profundo

Alineamiento de imágenes multiespectrales de teledetección en un clúster de GPUs

Multi-GPU registration of high-resolution multispectral images using HSI-KAZE in a cluster system

An Optimized Superpixel-based Domain Adaptation Scheme for River Ecosystem Classification

Euro-Par 2021: Parallel Processing Workshops Euro-Par 2021 International Workshops, Lisbon, Portugal, August 30-31, 2021, Revised Selected Papers

High-Performance and Disruptive Computing in Remote Sensing: HDCRS-A New Working Group of the GRSS Earth Science Informatics Technical Committee

A New Multispectral Data Augmentation Technique Based on Data Imputation

HSI-MSER: Hyperspectral Image Registration Algorithm based on MSER and SIFT

Proceedings of the 1st ACM SIGSPATIAL International Workshop on Searching and Mining Large Collectiions of Geospatial Data (GeoSearch 2021).

Una nueva técnica de aumentado de datos para la clasificación de imágenes hiperespectrales mediante CNN

Influencia del algoritmo de segmentación en la precisión y el coste computacional de la detección de cambios multiclase sobre imágenes hiperespectrales

A new data augmentation technique for the CNN-based classification of hyperspectral imagery

Comparing area-based and feature-based methods for co-registration of multispectral bands on GPU

Watershed Monitoring in Galicia from UAV Multispectral Imagery Using Advanced Texture Methods

GPU accelerated waterpixel algorithm for superpixel segmentation of hyperspectral images

Dual-Window Superpixel Data Augmentation for Hyperspectral Image Classification

Euro-Par 2020: Parallel Processing Workshops

GPU-Accelerated Registration of Hyperspectral Images Using KAZE Features

Exploring the MSER-based hyperspectral remote sensing image registration

Texture Extraction Techniques for the Classification of Vegetation Species in Hyperspectral Imagery: Bag of Words Approach Based on Superpixels

Superpixel Segmentation of Remote Sensing Images using Waterpixels in Commodity Hardware

Euro-Par 2019: Parallel Processing Workshops. Euro-Par 2019 International Workshops, Göttingen, Germany, August 26-30, 2019, Revised Selected Papers

Extended Anisotropic Diffusion Profiles in GPU for Hyperspectral Imagery

TCANet for Domain Adaptation of Hyperspectral Images

Computación eficiente de perfiles de difusión para la extracción de información espectral-espacial

Texture-based analysis of hydrographical basins with multispectral imagery

SURF-based registration for hyperspectral images

Exploring the Registration of Remote Sensing Images using HSI-KAZE in Graphical Units

Euro-Par 2018: Parallel Processing Workshops. Euro-Par 2018 International Workshops, Turin, Italy, August 27-28, 2018, Revised Selected Papers.

A multi-device version of the HYFMGPU algorithm for hyperspectral scenes registration

Extended attribute profiles on GPU applied to hyperspectral image classification

Wavelet-based Multicomponent Denoising Profile for the Classification of Hyperspectral Images

Euro-Par 2017: Parallel Processing Workshops. Lecture Notes in Computer Science (Volume 10659). Euro-Par 2017 International Workshops, Santiago de Compostela, Spain, August 28-29, 2017, Revised Selected Papers

Multiclass Change Detection for Multidimensional Images in the Presence of Noise

Stacked autoencoders for multiclass change detection in hyperspectral images

GPU computation of Attribute Profiles for RS Image Classification

Towards a Multi-device Version of the HYFMGPU Algorithm for Hyperspectral Scenes Registration

Alignment of Hyperspectral Images Using KAZE Features

GPU-based segmentation of retinal blood vessels

Caffe CNN-based classification of hyperspectral images on GPU

Advanced Parallel Processing Technologies 12th International Symposium, APPT 2017, Santiago de Compostela, Spain, August 29, 2017, Proceedings

GPU Framework for Change Detection in Multitemporal Hyperspectral Images

GPU Accelerated FFT-Based Registration of Hyperspectral Scenes

CUDA Multiclass Change Detection for Remote Sensing Hyperspectral Images using Extended Morphological Profiles

Transformada de Fourier aplicada al alineamiento de imágenes multidimensionales en GPU

Wavelet-based multicomponent denoising on GPU to improve the classification of hyperspectral images

GPU Framework for Change Detection in Multitemporal Hyperspectral Images

GPU Classification for Hyperspectral Images based on Convolutional Neural Networks

Fourier-Mellin registration of two hyperspectral images

GPU Projection of ECAS-II Segmenter for Hyperspectral Images Based on Cellular Automata

GPU classification of remote-sensing images using kernel ELM and extended morphological profiles

HypeRvieW: an open source desktop application for hyperspectral remote-sensing data processing

Exploring the impact of wavelet-based denoising in the classification of remote sensing hyperspectral images

Clasificación de imágenes de teledetección mediante ELM kernel y perfiles morfológicos en GPU.

Evolutionary Cellular Automata based Approach to High-dimensional Image Segmentation for GPU Projection

GPU-accelerated Level-Set Segmentation

An Open Source Desktop Application for Classification of Remote Sensing Data

Efficient ELM-Based Techniques for the Classification of Hyperspectral Remote Sensing Images on Commodity GPUs

Wavelet Based Classification of Hyperspectral Images using Extended Morphological Profiles on Graphics Processing Units

ELM-based Spectral-Spatial Classification of Hyperspectral Images using Extended Morphological Profiles and Composite Feature Mappings

Clasificación Supervisada de Imágenes de Sensado Remoto en GPU

Efficient Classification of Hyperspectral Images on Commodity GPUs using ELM-based Techniques

Spectral-Spatial Classification of Hyperspectral Images Using Wavelets and Extended Morphological Profiles

Using sampled information: is it enough for the sparse matrix-vector product locality optimization?

Exploring ELM-based spatial–spectral classification of hyperspectral images

Computing Efficiently Spectral-Spatial Classification of Hyperspectral Images on Commodity GPUs

Efficient 2D and 3D Watershed on Graphics Processing Unit: Block-Asynchronous Approaches Based on Cellular Automata

Multiresolution rendering based on gpgpu computing

Partitioning and mapping a fast level-set algorithm on the GPU

A GPU-based multiresolution pipeline for compressed volume rendering

Influencia de las mesetas en la implementación de watershed sobre GPUs

Proyección del método de segmentación del conjunto de nivel en GPU

Efficient segmentation of hyperspectral images on commodity GPUs

Memory Hierarchy Optimization for Large Tridiagonal System Solvers on GPU

Efficient GPU Asynchronous Implementation of a Watershed Algorithm Based on Cellular Automata

Evaluación de las políticas universitarias de sostenibilidad como facilitadoras para el desarrollo de los campus de excelencia internacional

The Split-and-Merge Method in General Purpose Computation on GPUs

Towards Real-Time Hyperspectral Image Processing: A GPGPU Implementation of Target Identification

Aplicabilidade da Pegada Ecológica em contextos universitarios

Estrategias de Sostenibilidad y Responsabilidad Social en las Universidades Españolas: una Herramienta para su Evaluación.

Efficient segmentation of hyperspectral images on commodity GPUs

Analyzing the Execution of Sparse Matrix-Vector Product on the Finisterrae SMP-NUMA System

An eco-feedback system for improving the sustainability performance of Universities

Towards Real-time Hyperspectral Image Processing, a GP-GPU Implementation of Target Identification

Herramientas para la monitorización de los accesos a memoria de códigos paralelos mediante contadores hardware

A Study of Memory Access Patterns in Irregular Parallel Codes Using Hardware Counter-Based Tools

Selecting the Best Tridiagonal System Solver Projected on Multi-Core CPU and GPU Platforms

GPU detectors for interference cancellation in chaos-based CDMA communications

Increasing the Locality of Iterative Methods and its Application to the Simulation of Semiconductor Devices

Increasing data reuse of sparse algebra codes on simultaneous multithreading architectures

Proyección de Algoritmos de Resolución de Sistemas Tridiagonales en la Tarjeta Gráfica

Evaluating Sparse Matrix-Vector Product on the FinisTerrae Supercomputer

Resultados del programa de compostaje doméstico de la Universidad de Santiago de Compostela