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Francisco Argüello
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2020 – today
- 2025
- [j48]Nicolás Vilela-Pérez
, Dora B. Heras
EffBaGAN: An Efficient Balancing GAN for Earth Observation in Data Scarcity Scenarios. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 18: 2477-2496 (2025) - 2024
- [j47]Álvaro G. Dieste
ResNeTS: A ResNet for Time Series Analysis of Sentinel-2 Data Applied to Grassland Plant-Biodiversity Prediction. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 17349-17370 (2024) - [j46]Javier Lopez-Fandino
Using heterogeneous computing and edge computing to accelerate anomaly detection in remotely sensed multispectral images. J. Supercomput. 80(9): 12543-12563 (2024) - [c26]Daniel Del Castillo
Region-Based Multispectral Image Registration on Heterogeneous Computing Platforms. IGARSS 2024: 1008-1012 - 2023
- [j45]Francisco Javier Cardama
Consensus Techniques for Unsupervised Binary Change Detection Using Multi-Scale Segmentation Detectors for Land Cover Vegetation Images. Remote. Sens. 15(11): 2889 (2023) - [j44]Álvaro G. Dieste
ResBaGAN: A Residual Balancing GAN with Data Augmentation for Forest Mapping. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 6428-6447 (2023) - [j43]Alberto S. Garea, Dora B. Heras
A hybrid CUDA, OpenMP, and MPI parallel TCA-based domain adaptation for classification of very high-resolution remote sensing images. J. Supercomput. 79(7): 7513-7532 (2023) - [c25]Adrián Rodríguez-Molina
Prospective Comparison of SURF and Binary Keypoint Descriptors for Fast Hyperspectral Remote Sensing Registration. IGARSS 2023: 704-707 - 2022
- [j42]Brais Rodríguez-Suárez
Design of CGAN Models for Multispectral Reconstruction in Remote Sensing. Remote. Sens. 14(4): 816 (2022) - [c24]Álvaro Ordóñez
Multi-GPU Registration of High-Resolution Multispectral Images Using HSI-KAZE in a Cluster System. IGARSS 2022: 5527-5530 - 2021
- [j41]Francisco Argüello
Watershed Monitoring in Galicia from UAV Multispectral Imagery Using Advanced Texture Methods. Remote. Sens. 13(14): 2687 (2021) - [j40]Álvaro Acción
A New Multispectral Data Augmentation Technique Based on Data Imputation. Remote. Sens. 13(23): 4875 (2021) - [j39]Álvaro Ordóñez
HSI-MSER: Hyperspectral Image Registration Algorithm Based on MSER and SIFT. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 12061-12072 (2021) - [j38]Pablo Quesada-Barriuso
GPU accelerated waterpixel algorithm for superpixel segmentation of hyperspectral images. J. Supercomput. 77(9): 10040-10052 (2021) - [c23]Álvaro Ordóñez
Comparing Area-Based and Feature-Based Methods for Co-Registration of Multispectral Bands on GPU. IGARSS 2021: 1575-1578 - 2020
- [j37]Sergio R. Blanco
Texture Extraction Techniques for the Classification of Vegetation Species in Hyperspectral Imagery: Bag of Words Approach Based on Superpixels. Remote. Sens. 12(16): 2633 (2020) - [j36]Álvaro Ordóñez
GPU-accelerated registration of hyperspectral images using KAZE features. J. Supercomput. 76(12): 9478-9492 (2020)
2010 – 2019
- 2019
- [j35]Javier Lopez-Fandino
GPU Framework for Change Detection in Multitemporal Hyperspectral Images. Int. J. Parallel Program. 47(2): 272-292 (2019) - [j34]Alberto S. Garea, Dora B. Heras
TCANet for Domain Adaptation of Hyperspectral Images. Remote. Sens. 11(19): 2289 (2019) - [j33]Pedro G. Bascoy
Wavelet-Based Multicomponent Denoising Profile for the Classification of Hyperspectral Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(2): 722-733 (2019) - [j32]Álvaro Acción
Extended Anisotropic Diffusion Profiles in GPU for Hyperspectral Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(12): 4964-4976 (2019) - [j31]Alberto S. Garea
Caffe CNN-based classification of hyperspectral images on GPU. J. Supercomput. 75(3): 1065-1077 (2019) - [j30]Pedro G. Bascoy
Extended attribute profiles on GPU applied to hyperspectral image classification. J. Supercomput. 75(3): 1565-1579 (2019) - [c22]Álvaro Ordóñez, Dora B. Heras, Francisco Argüello:
Surf-Based Registration for Hyperspectral Images. IGARSS 2019: 63-66 - 2018
- [j29]Francisco Argüello
GPU-based segmentation of retinal blood vessels. J. Real Time Image Process. 14(4): 773-782 (2018) - [j28]Álvaro Ordóñez
Alignment of Hyperspectral Images Using KAZE Features. Remote. Sens. 10(5): 756 (2018) - [c21]Javier Lopez-Fandino
Stacked Autoencoders for Multiclass Change Detection in Hyperspectral Images. IGARSS 2018: 1906-1909 - 2017
- [j27]Javier Lopez-Fandino
GPU Projection of ECAS-II Segmenter for Hyperspectral Images Based on Cellular Automata. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(1): 20-28 (2017) - [j26]Álvaro Ordóñez
GPU Accelerated FFT-Based Registration of Hyperspectral Scenes. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(11): 4869-4878 (2017) - [c20]Javier Lopez-Fandino
CUDA multiclass change detection for remote sensing hyperspectral images using extended morphological profiles. IDAACS 2017: 404-409 - 2016
- [j25]Julián Lamas-Rodríguez, Dora Blanco Heras
GPU-accelerated level-set segmentation. J. Real Time Image Process. 12(1): 15-29 (2016) - [c19]Becerra Priego, Richard J. Duro
Evolutionary cellular automata based approach to high-dimensional image segmentation for GPU projection. IJCNN 2016: 1593-1600 - 2015
- [j24]Javier Lopez-Fandino
Efficient ELM-Based Techniques for the Classification of Hyperspectral Remote Sensing Images on Commodity GPUs. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(6): 2884-2893 (2015) - [j23]Pablo Quesada-Barriuso
Wavelet-Based Classification of Hyperspectral Images Using Extended Morphological Profiles on Graphics Processing Units. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(6): 2962-2970 (2015) - [c18]Alberto S. Garea
An open source desktop application for classification of remote sensing data. IDAACS 2015: 316-321 - 2014
- [j22]Pablo Quesada-Barriuso
Spectral-Spatial Classification of Hyperspectral Images Using Wavelets and Extended Morphological Profiles. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(4): 1177-1185 (2014) - 2013
- [j21]Pablo Quesada-Barriuso
Efficient 2D and 3D watershed on graphics processing unit: block-asynchronous approaches based on cellular automata. Comput. Electr. Eng. 39(8): 2638-2655 (2013) - [j20]Julián Lamas-Rodríguez, Francisco Argüello, Dora B. Heras:
Multiresolution Rendering based on GPGPU Computing. Int. J. Comput. 12(4): 298-307 (2013) - [c17]Julián Lamas-Rodríguez, Dora Blanco Heras
Partitioning and mapping a fast level-set algorithm on the GPU. IDAACS 2013: 681-686 - 2012
- [j19]Francisco Argüello
The split-and-merge method in general purpose computation on GPUs. Parallel Comput. 38(6-7): 277-288 (2012) - [c16]Pablo Quesada-Barriuso
Efficient GPU Asynchronous Implementation of a Watershed Algorithm Based on Cellular Automata. ISPA 2012: 79-86 - [c15]Julián Lamas-Rodríguez, Francisco Argüello
Memory Hierarchy Optimization for Large Tridiagonal System Solvers on GPU. ISPA 2012: 87-94 - [c14]Pablo Quesada-Barriuso, Francisco Argüello
Efficient segmentation of hyperspectral images on commodity GPUs. KES 2012: 2130-2139 - 2011
- [c13]Dora Blanco Heras
Towards real-time hyperspectral image processing, a GP-GPU implementation of target identification. IDAACS (1) 2011: 316-321 - [c12]Dora Blanco Heras
An eco-feedback system for improving the sustainability performance of universities. VECIMS 2011: 38-43
2000 – 2009
- 2009
- [j18]Francisco Argüello:
Quantum wavelet transforms of any order. Quantum Inf. Comput. 9(5&6): 414-422 (2009) - 2008
- [i1]Francisco Argüello:
Multiplication in Cyclotomic Rings and its Application to Finite Fields. CoRR abs/0807.3699 (2008) - 2003
- [j17]Francisco Argüello
Blind Multiuser Receivers for Chaos Based Communications. Int. J. Bifurc. Chaos 13(8): 2353-2359 (2003) - 2002
- [j16]Francisco Argüello
Multi-User Receivers for Spread Spectrum Communications Based on Chaotic Sequences. Int. J. Bifurc. Chaos 12(4): 847-853 (2002) - [j15]Francisco Argüello
Architecture for wavelet packet transform based on lifting steps. Parallel Comput. 28(7-8): 1023-1037 (2002) - [j14]María A. Trenas, Juan López, Emilio L. Zapata, Francisco Argüello
A Configurable Architecture for the Wavelet Packet Transform. J. VLSI Signal Process. 32(3): 255-273 (2002) - 2001
- [j13]Margarita Amor, Francisco Argüello
A Data-Parallel Formulation for Divide and Conquer Algorithms. Comput. J. 44(4): 303-320 (2001) - 2000
- [c11]María A. Trenas, Juan López, Manuel Sánchez, Emilio L. Zapata, Francisco Argüello:
Architecture for Wavelet Packet Transform with Best Tree Searching. ASAP 2000: 289-298 - [c10]María A. Trenas, Juan López, Emilio L. Zapata, Francisco Argüello
An architecture for wavelet-packet based speech enhancement for hearing aids. ICASSP 2000: 849-852 - [c9]Margarita Amor, Francisco Argüello, Juan López, Oscar G. Plata, Emilio L. Zapata:
A Data Parallel Formulation of the Barnes-Hut Method for N -Body Simulations. PARA 2000: 342-349 - [c8]Margarita Amor, Francisco Argüello
Parallelization of a Recursive Decoupling Method for Solving Tridiagonal Linear Systems on Distributed Memory Computer. VECPAR 2000: 344-354
1990 – 1999
- 1998
- [c7]María A. Trenas, Juan López, Emilio L. Zapata, Francisco Argüello
A memory system supporting the efficient SIMD computation of the two dimensional DWT. ICASSP 1998: 1521-1524 - 1997
- [j12]Margarita Amor, Juan López, Francisco Argüello, Emilio L. Zapata:
Mapping Tridiagonal System Algorithms onto Mesh Connected Computers. Int. J. High Speed Comput. 9(2): 101-126 (1997) - [j11]Juan López, Oscar G. Plata
Unified Framework for the Parallelization of Divide and Conquer Based Tridiagonal Systems. Parallel Comput. 23(6): 667-686 (1997) - [j10]Montserrat Bóo, Francisco Argüello
High-performance VLSI architecture for the Viterbi algorithm. IEEE Trans. Commun. 45(2): 168-176 (1997) - [j9]Montserrat Bóo, Francisco Argüello, Javier D. Bruguera, Emilio L. Zapata:
Mapping of Trellises Associated with General Encoders onto High-Performance VLSI Architectures. J. VLSI Signal Process. 17(1): 57-73 (1997) - [c6]Francisco Argüello, Nicolás Guil, Juan López, Margarita Amor, Emilio L. Zapata:
A Probabilistic Model for the Best-First Search B&B Algorithms. IRREGULAR 1997: 49-60 - [c5]Margarita Amor, Juan López, Dora Blanco Heras, Francisco Argüello:
Mapping and Scheduling of r-arys Trees onto Arrays and Meshes. PARCO 1997: 719-722 - 1996
- [j8]Francisco Argüello
FFTs on Mesh Connected Computers. Parallel Comput. 22(1): 19-38 (1996) - [c4]Montserrat Bóo, Francisco Argüello, Javier D. Bruguera, Emilio L. Zapata:
High-Speed Viterbi Decoder: An Efficient Scheduling Method to Exploit the Pipelining. ASAP 1996: 165- - [c3]Montserrat Bóo, Francisco Argüello, Javier D. Bruguera, Emilio L. Zapata:
High performance VLSI architecture for the trellis coded quantization. ICIP (2) 1996: 995-998 - 1995
- [j7]Francisco Argüello
A Parallel Architecture for the Self-Sorting FFT Algorithm. J. Parallel Distributed Comput. 31(1): 88-97 (1995) - [j6]Francisco Argüello
Constant geometry split-radix algorithms. J. VLSI Signal Process. 10(2): 141-152 (1995) - 1994
- [j5]Francisco Argüello
Parallel Architecture for Fast Transforms with Trigonometric Kernel. IEEE Trans. Parallel Distributed Syst. 5(10): 1091-1099 (1994) - [c2]Margarita Amor, María J. Martín, Dora Blanco Heras
Vectorization of the Radix r Self-Sorting FFT. CONPAR 1994: 208-217 - 1993
- [j4]Emilio L. Zapata, Francisco Argüello
Application-specific architecture for fast transforms based on the successive doubling method. IEEE Trans. Signal Process. 41(3): 1476-1481 (1993) - 1992
- [j3]Emilio L. Zapata, Francisco Argüello
A VLSI Constant Geometry Architecture for the Fast Hartley and Fourier Transforms. IEEE Trans. Parallel Distributed Syst. 3(1): 58-70 (1992) - 1991
- [c1]Francisco Argüello, Ramon Doallo, Javier D. Bruguera, Emilio L. Zapata:
Design of a constant geometry fast Hartley transformer. ICASSP 1991: 1137-1140 - 1990
- [j2]Emilio L. Zapata, Francisco Argüello
Multidimensional fast Hartley transform onto SIMD hypercubes. Microprocessing and Microprogramming 29(2): 121-134 (1990) - [j1]Emilio L. Zapata, José Carlos Cabaleiro
Systolic architecture for the calculation of the correlation coefficients. Microprocessing and Microprogramming 30(1-5): 609-616 (1990)
Coauthor Index
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