Publicaciones en colaboración con investigadores/as de Universidad de Extremadura (43)

2022

  1. SunMap: A Solar Image Processing Software for Obtaining Synoptic Maps

    Solar Physics, Vol. 297, Núm. 8

2020

  1. An accurate vegetation and non-vegetation differentiation approach based on land cover classification

    Remote Sensing, Vol. 12, Núm. 23, pp. 1-29

  2. Deep learning for land cover classification using only a few bands

    Remote Sensing, Vol. 12, Núm. 12

  3. Improving land cover classification using extended multi-attribute profiles (EMAP) enhanced color, near infrared, and LiDAR data

    Remote Sensing, Vol. 12, Núm. 9

2019

  1. A Joint Sparsity Approach to Soil Detection Using Expanded Bands of WV-2 Images

    IEEE Geoscience and Remote Sensing Letters, Vol. 16, Núm. 12, pp. 1869-1873

  2. Low-High-Power Consumption Architectures for Deep-Learning Models Applied to Hyperspectral Image Classification

    IEEE Geoscience and Remote Sensing Letters, Vol. 16, Núm. 5, pp. 776-780

  3. Open Multi-Processing Acceleration for Unsupervised Land Cover Categorization Using Probabilistic Latent Semantic Analysis

    International Geoscience and Remote Sensing Symposium (IGARSS)

  4. Performance of change detection algorithms using heterogeneous images and Extended Multi-Attribute Profiles (EMAPs)

    Remote Sensing, Vol. 11, Núm. 20

  5. Portability Study of an OpenCL Algorithm for Automatic Target Detection in Hyperspectral Images

    IEEE Transactions on Geoscience and Remote Sensing, Vol. 57, Núm. 11, pp. 9499-9511

2018

  1. Multicore Real-Time Implementation of a Full Hyperspectral Unmixing Chain

    IEEE Geoscience and Remote Sensing Letters, Vol. 15, Núm. 5, pp. 744-748

2017

  1. Parallel implementation of a full hyperspectral unmixing chain using OpenCL

    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 10, Núm. 6, pp. 2452-2461

  2. Performance-Power Evaluation of an OpenCL Implementation of the Simplex Growing Algorithm for Hyperspectral Unmixing

    IEEE Geoscience and Remote Sensing Letters, Vol. 14, Núm. 3, pp. 304-308

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

  2. GPU Implementation of Spatial-Spectral Preprocessing for Hyperspectral Unmixing

    IEEE Geoscience and Remote Sensing Letters, Vol. 13, Núm. 11, pp. 1671-1675

  3. OpenCL-library-based implementation of SCLSU algorithm for remotely sensed hyperspectral data exploitation: ClMAGMA versus viennaCL

    Proceedings of SPIE - The International Society for Optical Engineering

  4. Parallel Hyperspectral Coded Aperture for Compressive Sensing on GPUs

    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 9, Núm. 2, pp. 932-944

  5. Parallel implementation of a hyperspectral data geometry-based estimation of number of endmembers algorithm

    Proceedings of SPIE - The International Society for Optical Engineering

  6. Parallel implementation of the simplex growing algorithm for hyperspectral unmixing using OpenCL

    International Geoscience and Remote Sensing Symposium (IGARSS)

2015

  1. A Fast Parallel Hyperspectral Coded Aperture Algorithm for Compressive Sensing Using OpenCL

    IEEE EUROCON 2015 - INTERNATIONAL CONFERENCE ON COMPUTER AS A TOOL (EUROCON)

  2. A fast parallel hyperspectral coded aperture algorithm for compressive sensing using OpenCL

    Proceedings - EUROCON 2015