Publicacions en què col·labora amb DANIEL MOZOS MUÑOZ (24)

2024

  1. A Real-Time FPGA Implementation of the LCMV Algorithm for Target Classification in Hyperspectral Images Using LDL Decomposition

    IEEE Transactions on Geoscience and Remote Sensing, Vol. 62

  2. Parametric Pipelined k-Means Implementation for Hyperspectral Processing on Spacecraft Embedded FPGA

    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 17, pp. 15927-15941

2022

  1. A Real-Time FPGA Implementation of the CCSDS 123.0-B-2 Standard

    IEEE Transactions on Geoscience and Remote Sensing, Vol. 60

2020

  1. An Extremely Pipelined FPGA Implementation of a Lossy Hyperspectral Image Compression Algorithm

    IEEE Transactions on Geoscience and Remote Sensing, Vol. 58, Núm. 10, pp. 7435-7447

  2. An FPGA accelerator for real-time lossy compression of hyperspectral images

    Remote Sensing, Vol. 12, Núm. 16

2019

  1. FPGA implementation of the principal component analysis algorithm for dimensionality reduction of hyperspectral images

    Journal of Real-Time Image Processing, Vol. 16, Núm. 5, pp. 1395-1406

  2. Noise estimation for hyperspectral subspace identification on FPGAs

    Journal of Supercomputing, Vol. 75, Núm. 3, pp. 1323-1335

2018

  1. A novel FPGA-based architecture for the estimation of the virtual dimensionality in remotely sensed hyperspectral images

    Journal of Real-Time Image Processing, Vol. 15, Núm. 2, pp. 297-308

  2. FPGA Implementation of the CCSDS 1.2.3 Standard for Real-Time Hyperspectral Lossless Compression

    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 11, Núm. 4, pp. 1158-1165

2017

  1. Parallel implementation of the CCSDS 1.2.3 standard for hyperspectral lossless compression

    Remote Sensing, Vol. 9, Núm. 10

2016

  1. FPGA Implementation of an Algorithm for Automatically Detecting Targets in Remotely Sensed Hyperspectral Images

    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 9, Núm. 9, pp. 4334-4343

2015

  1. FPGA Implementation of the HySime Algorithm for the Determination of the Number of Endmembers in Hyperspectral Data

    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 8, Núm. 6, pp. 2870-2883

  2. FPGA implementation to estimate the number of endmembers in hyperspectral images

    25th International Conference on Field Programmable Logic and Applications, FPL 2015

2013

  1. The promise of reconfigurable computing for hyperspectral imaging onboard systems: A review and trends

    Proceedings of the IEEE, Vol. 101, Núm. 3, pp. 698-722

  2. Use of FPGA or GPU-based architectures for remotely sensed hyperspectral image processing

    Integration, the VLSI Journal, Vol. 46, Núm. 2, pp. 89-103

2012

  1. FPGA implementation of abundance estimation for spectral unmixing of hyperspectral data using the image space reconstruction algorithm

    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 5, Núm. 1, pp. 248-261

  2. FPGA implementation of the N-FINDR algorithm for remotely sensed hyperspectral image analysis

    IEEE Transactions on Geoscience and Remote Sensing, Vol. 50, Núm. 2, pp. 374-388

2011

  1. A Hardware implementation of a run-time scheduler for reconfigurable systems

    IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Vol. 19, Núm. 7, pp. 1263-1276

  2. FPGA implementation of endmember extraction algorithms from hyperspectral imagery: Pixel purity index versus N-FINDR

    Proceedings of SPIE - The International Society for Optical Engineering

2010

  1. A task graph execution manager for reconfigurable multi-tasking systems

    Microprocessors and Microsystems, Vol. 34, Núm. 2-4, pp. 73-83