Search Results - "Resano, Javier"

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  1. 1

    Inference in Supervised Spectral Classifiers for On-Board Hyperspectral Imaging: An Overview by Alcolea, Adrián, Paoletti, Mercedes E., Haut, Juan M., Resano, Javier, Plaza, Antonio

    Published in Remote sensing (Basel, Switzerland) (01-02-2020)
    “…Machine learning techniques are widely used for pixel-wise classification of hyperspectral images. These methods can achieve high accuracy, but most of them…”
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    Journal Article
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    Use of FPGA or GPU-based architectures for remotely sensed hyperspectral image processing by González, Carlos, Sánchez, Sergio, Paz, Abel, Resano, Javier, Mozos, Daniel, Plaza, Antonio

    Published in Integration (Amsterdam) (01-03-2013)
    “…Hyperspectral imaging is a growing area in remote sensing in which an imaging spectrometer collects hundreds of images (at different wavelength channels) for…”
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    FPGA Implementation of the Pixel Purity Index Algorithm for Remotely Sensed Hyperspectral Image Analysis by González, Carlos, Resano, Javier, Mozos, Daniel, Plaza, Antonio, Valencia, David

    “…Hyperspectral imaging is a new emerging technology in remote sensing which generates hundreds of images, at different wavelength channels, for the same area on…”
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    Bayesian Neural Networks to Analyze Hyperspectral Datasets Using Uncertainty Metrics by Alcolea, Adrian, Resano, Javier

    “…Machine learning techniques, and specifically neural networks, have proved to be very useful tools for image classification tasks. Nevertheless, measuring the…”
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    Journal Article
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    FPGA Implementation of the Pixel Purity Index Algorithm for Remotely Sensed Hyperspectral Image Analysis by González, Carlos, Resano, Javier, Mozos, Daniel, Plaza, Antonio, Valencia, David

    “…Hyperspectral imaging is a new emerging technology in remote sensing which generates hundreds of images, at different wavelength channels, for the same area on…”
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    Journal Article
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    The Promise of Reconfigurable Computing for Hyperspectral Imaging Onboard Systems: A Review and Trends by Lopez, Sebastian, Vladimirova, Tanya, Gonzalez, Carlos, Resano, Javier, Mozos, Daniel, Plaza, Antonio

    Published in Proceedings of the IEEE (01-03-2013)
    “…Hyperspectral imaging is an important technique in remote sensing which is characterized by high spectral resolutions. With the advent of new hyperspectral…”
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    Journal Article
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    Analysis of a Pipelined Architecture for Sparse DNNs on Embedded Systems by Moreno, Adrian Alcolea, Olivito, Javier, Resano, Javier, Mecha, Hortensia

    “…Deep neural networks (DNNs) are increasing their presence in a wide range of applications, and their computationally intensive and memory-demanding nature…”
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    A novel approach for adapting the standard addition method to single particle-ICP-MS for the accurate determination of NP size and number concentration in complex matrices by Aramendía, Maite, García-Mesa, Juan Carlos, Alonso, Elisa Vereda, Garde, Raúl, Bazo, Antonio, Resano, Javier, Resano, Martín

    Published in Analytica chimica acta (01-05-2022)
    “…This paper presents a novel approach, based on the standard addition method, for overcoming the matrix effects that often hamper the accurate characterization…”
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    GPU-Friendly Neural Networks for Remote Sensing Scene Classification by Haut, Juan M., Alcolea, Adrian, Paoletti, Mercedes E., Plaza, Javier, Resano, Javier, Plaza, Antonio

    “…Convolutional neural networks (CNNs) have proven to be very efficient for the analysis of remote sensing (RS) images. Due to the inherent complexity of…”
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    FPGA Implementation of the N-FINDR Algorithm for Remotely Sensed Hyperspectral Image Analysis by Gonzalez, C., Mozos, D., Resano, J., Plaza, A.

    “…Hyperspectral remote sensing attempts to identify features in the surface of the Earth using sensors that generally provide large amounts of data. The data are…”
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    FPGA Implementation of Abundance Estimation for Spectral Unmixing of Hyperspectral Data Using the Image Space Reconstruction Algorithm by Gonzalez, Carlos, Resano, Javier, Plaza, Antonio, Mozos, Daniel

    “…One of the most popular and widely used techniques for analyzing remotely sensed hyperspectral data is spectral unmixing, which relies on two stages: (i)…”
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    Accelerating Board Games Through Hardware/Software Codesign by Olivito, Javier, Resano, Javier, Briz, Jose Luis

    “…Board games applications usually offer a great user experience when running on desktop computers. Powerful high-performance processors working without energy…”
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    Journal Article
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    Analysis of the reconfiguration latency and energy overheads for a Xilinx Virtex‐5 field‐programmable gate array by Olivito, Javier, Serrano, Felipe, Clemente, Juan Antonio, Mecha, Hortensia, Resano, Javier

    “…In this study, the authors have evaluated the overhead and the tradeoffs of a set of components usually included in a system with run‐time partial…”
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    Hardware Architectural Support for Caching Partitioned Reconfigurations in Reconfigurable Systems by Clemente, Juan Antonio, Gran, Ruben, Chocano, Abel, del Prado, Carlos, Resano, Javier

    “…The efficiency of the reconfiguration process in modern field-programmable gate arrays (FPGAs) can improve drastically if an on-chip configuration memory is…”
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