FRANCISCO SANTIAGO
ARGÜELLO PEDREIRA
Catedrático de universidade
JAVIER
LOPEZ FANDIÑO
Profesor axudante doutor
Publicacións nas que colabora con JAVIER LOPEZ FANDIÑO (10)
2024
-
Using heterogeneous computing and edge computing to accelerate anomaly detection in remotely sensed multispectral images
Journal of Supercomputing, Vol. 80, Núm. 9, pp. 12543-12563
2019
-
GPU Framework for Change Detection in Multitemporal Hyperspectral Images
International Journal of Parallel Programming, Vol. 47, Núm. 2, pp. 272-292
2018
-
Multiclass change detection for multidimensional images in the presence of noise
Proceedings of SPIE - The International Society for Optical Engineering
-
STACKED AUTOENCODERS FOR MULTICLASS CHANGE DETECTION IN HYPERSPECTRAL IMAGES
IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM
-
Stacked autoencoders for multiclass change detection in hyperspectral images
International Geoscience and Remote Sensing Symposium (IGARSS)
2017
-
CUDA Multiclass Change Detection for Remote Sensing Hyperspectral Images using Extended Morphological Profiles
PROCEEDINGS OF THE 2017 9TH IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT DATA ACQUISITION AND ADVANCED COMPUTING SYSTEMS: TECHNOLOGY AND APPLICATIONS (IDAACS), VOL 1
-
CUDA multiclass change detection for remote sensing hyperspectral images using extended morphological profiles
Proceedings of the 2017 IEEE 9th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, IDAACS 2017
-
GPU Projection of ECAS-II Segmenter for Hyperspectral Images Based on Cellular Automata
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 10, Núm. 1, pp. 20-28
2016
-
Evolutionary cellular automata based approach to high-dimensional image segmentation for GPU projection
Proceedings of the International Joint Conference on Neural Networks
2015
-
Efficient ELM-Based Techniques for the Classification of Hyperspectral Remote Sensing Images on Commodity GPUs
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 8, Núm. 6, pp. 2884-2893