Publicaciones

Detección de Anomalı́as en Imagen Multiespectral Basada en Isolation Forest y Redes de Deep Learning

Attention-based Convolutional Neural Network for Anomaly Detection in Multispectral Images of Semi-Natural Ecosystems

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

Accelerated Extinction Profiles for Anomaly Detection in Fluvial Ecosystems

Multiclass Change Detection for Multidimensional Images in the Presence of Noise

Stacked autoencoders for multiclass change detection in hyperspectral images

Efficient multitemporal change detection techniques for hyperspectral images on GPU

GPU Framework for Change Detection in Multitemporal Hyperspectral Images

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

GPU Framework for Change Detection in Multitemporal Hyperspectral Images

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

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

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

Clasificación Supervisada de Imágenes de Sensado Remoto en GPU

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