Listar INIT_Articles por autoría "78e7bbb9-91c9-4893-bc68-0d1f854c531a"
Mostrando ítems 1-20 de 60
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A Kinect-Based Interactive System for Home-Assisted Active Aging
Fuertes Muñoz, Gabriel; Mollineda, Ramón A.; Pla, Filiberto MDPI (2021)Virtually every country in the world is facing an unprecedented challenge: society is aging.Assistive technologies are expected to play a key role in promoting healthy lifestyles in the elderly.This paper presents a ... -
A New Deep Generative Network for Unsupervised Remote Sensing Single-Image Super-Resolution
Haut, Juan M.; Fernandez-Beltran, Ruben; Paoletti, Mercedes Eugenia; Plaza, Javier; Plaza, Antonio; Pla, Filiberto IEEE (2018-11)Super-resolution (SR) brings an excellent opportunity to improve a wide range of different remote sensing applications. SR techniques are concerned about increasing the image resolution while providing finer spatial details ... -
Attentional Dense Convolutional Neural Network for Water Body Extraction From Sentinel-2 Images
Pla, Filiberto; Parajuli, Janak; Fernandez-Beltran, Ruben; kang, jian IEEE (2022-08-15)Monitoring water bodies from remote sensing data is certainly an essential task to supervise the actual conditions of the available water resources for environment conservation, sustainable development, and many other ... -
Bag-of-words with aggregated temporal pair-wise word co-occurrence for human action recognition
Agustí Ballester, Pau; Traver Roig, Vicente Javier; Pla, Filiberto Elsevier (2014)The bag-of-words (BoW) representation has successfully been used for human action recognition from videos. However, one limitation of the standard BoW is that it ignores spatial and temporal relationships between the ... -
Band selection in spectral imaging for non-invasive melanoma diagnosis
Quinzán, Ianisse; Martínez Sotoca, José; Latorre Carmona, Pedro; Pla, Filiberto; García-Sevilla, Pedro; Boldó, Enrique Optical Society of America (2013-03-04)A method consisting of the combination of the Synthetic Minority Over-Sampling TEchnique (SMOTE) and the Sequential Forward Floating Selection (SFFS) technique is used to do band selection in a highly imbalanced, small ... -
Capsule Networks for Hyperspectral Image Classification
Paoletti, Mercedes Eugenia; Haut, Juan M.; Fernandez-Beltran, Ruben; Plaza, Javier; Plaza, Antonio; Li, Jun; Pla, Filiberto IEEE (2018-10)Convolutional neural networks (CNNs) have recently exhibited an excellent performance in hyperspectral image classification tasks. However, the straightforward CNN-based network architecture still finds obstacles when ... -
Characterizing the relationship between land use land cover change and land surface temperature
Tran, Duy X.; Pla, Filiberto; Latorre Carmona, Pedro; Myint, Soe W.; Caetano, Mario; Kieu, Hoan V. Elsevier (2017-02)Exploring changes in land use land cover (LULC) to understand the urban heat island (UHI) effect is valuable for both communities and local governments in cities in developing countries, where urbanization and industrialization ... -
Cocaine-Induced Preference Conditioning: a Machine Vision Perspective
Traver Roig, Vicente Javier; Pla, Filiberto; MIQUEL, MARTA; Carbó Gas, María; Gil-Miravet, Isis; Guarque-Chabrera, Julian Springer (2018)Existing work on drug-induced synaptic changes has shown that the expression of perineuronal nets (PNNs) at the cerebellar cortex can be regulated by cocaine-related memory. However, these studies on animals have mostly ... -
DAT-CNN: Dual Attention Temporal CNN for Time-Resolving Sentinel-3 Vegetation Indices
Ibáñez Fernández, Damián; Fernandez-Beltran, Ruben; Pla, Filiberto; Yokoya, Naoto IEEE (2022-03-22)The synergies between Sentinel-3 (S3) and the forthcoming fluorescence explorer (FLEX) mission bring us the opportunity of using S3 vegetation indices (VI) as proxies of the solar-induced chlorophyll fluorescence (SIF) ... -
Deep Pyramidal Residual Networks for Spectral-Spatial Hyperspectral Image Classification
Paoletti, Mercedes Eugenia; Haut, Juan M.; Fernandez-Beltran, Ruben; Plaza, Javier; Plaza, Antonio; Pla, Filiberto IEEE (2018-08)Convolutional neural networks (CNNs) exhibit good performance in image processing tasks, pointing themselves as the current state-of-the-art of deep learning methods. However, the intrinsic complexity of remotely sensed ... -
Depth and All-in-Focus Image Estimation in Synthetic Aperture Integral Imaging Under Partial Occlusions
Martínez Sotoca, José; Latorre Carmona, Pedro; Pla, Filiberto; Javidi, Bahram IEEE (2018-12)A common assumption in the integral imaging reconstruction is that a pixel will be photo-consistent if all viewpoints observed by the different cameras converge at a single point when focusing at the proper depth. However, ... -
Depth estimation improvement in 3D integral imaging using an edge removal approach
Martínez Sotoca, José; Latorre Carmona, Pedro; Espinós-Morató, H.; Pla, Filiberto; Javidi, Bahram Springer (2018)A new depth estimation method for 3D reconstruction in a synthetic aperture integral imaging framework is presented. This method removes the edges of the objects in the elemental images when the objects are in focus. This ... -
Desarrollo de productos avanzados para la misión SEOSAT/Ingenio
Sabater, N.; Ruiz-Verdú, A.; Delegido, J.; Fernandez-Beltran, Ruben; Latorre Carmona, Pedro; Pla, Filiberto; González-Audícana, M.; Álvarez-Mozos, J.; Sola, I.; Villa, G.; Tejeiro, J. A.; De Miguel, E.; Jimenez, M.; Molina, S.; Moreno, J. Asociación Española de Teledetección (2016)SEOSAT/Ingenio es la futura misión española de observación de la Tierra en el óptico en alta resolución espacial. Mientras que los productos de imagen a Nivel 1, radiancias geo-referenciadas a nivel de sensor, se encuentran ... -
Detección de ruido en aprendizaje semisupervisado con el uso de flujos de datos
Sánchez Garreta, Josep Salvador; Pla, Filiberto; Pascual, Damaris; Vázquez, Fernando D. Universidad de Antioquia (2014)A menudo, es necesario construir conjuntos de entrenamiento. Si disponemos solamente de un número reducido de objetos etiquetados y de un conjunto numeroso de objetos no etiquetados, podemos construir el conjunto ... -
Effect of Denoising in Band Selection for Regression Tasks in Hyperspectral Datasets
Latorre Carmona, Pedro; Martínez Sotoca, José; Pla, Filiberto; Bioucas-Dias, José; Julià Ferré, Carme Institute of Electrical and Electronics Engineers (IEEE) (2013)This paper presents a comparative analysis of six band selection methods applied to hyperspectral datasets for biophysical variable estimation problems, where the effect of denoising on band selection performance has ... -
Effects of green space spatial pattern on land surface temperature: Implications for sustainable urban planning and climate change adaptation
Maimaitiyiming, Matthew; Ghulam, Abduwasit; Tiyip, Tashpolat; Pla, Filiberto; Latorre Carmona, Pedro; Halik, Ümüt; Sawu, Mamat; Caetano, Mário Elsevier (2014-03)The urban heat island (UHI) refers to the phenomenon of higher atmospheric and surface temperatures occurring in urban areas than in the surrounding rural areas. Mitigation of the UHI effects via the configuration of ... -
Endmember Extraction From Hyperspectral Imagery Based on Probabilistic Tensor Moments
Fernandez-Beltran, Ruben; Pla, Filiberto; Plaza, Antonio Institute of Electrical and Electronics Engineers (2020-01-13)This letter presents a novel hyperspectral endmember extraction approach that integrates a tensor-based decomposition scheme with a probabilistic framework in order to take advantage of both technologies when uncovering ... -
Exploring some practical issues of SVM+: Is really privileged information that helps?
Serra Toro, Carlos; Traver Roig, Vicente Javier; Pla, Filiberto Elsevier (2014)Learning using privileged information (LUPI) is a machine learning paradigm which aims at improving classification by taking advantage of information that is only available at training time —not at test time. SVM+ is an ... -
Filter-Type Variable Selection Based on Information Measures for Regression Tasks
Latorre Carmona, Pedro; Martínez Sotoca, José; Pla, Filiberto MDPI AG (2012)This paper presents a supervised variable selection method applied to regression problems. This method selects the variables applying a hierarchical clustering strategy based on information measures. The proposed technique ... -
FloU-Net: An Optical Flow Network for Multi-modal Self-Supervised Image Registration
Ibáñez Fernández, Damián; Fernández Beltrán, Rubén; Pla, Filiberto Institute of Electrical and Electronics Engineers (2023)Image registration is an essential task in image processing, where the final objective is to geometrically align two or more images. In remote sensing, this process allows comparing, fusing or analyzing data, specially ...