Publicaciones en las que colabora con Siham Tabik (18)

2022

  1. Climate legacies drive the distribution and future restoration potential of dryland forests

    Nature Plants, Vol. 8, Núm. 8, pp. 879-886

  2. Sentinel2GlobalLULC: A Sentinel-2 RGB image tile dataset for global land use/cover mapping with deep learning

    Scientific Data

  3. Sentinel2GlobalLULC: A dataset of Sentinel-2 georeferenced RGB imagery acquired between June 2015 and October 2020 annotated for global land use/land cover mapping with deep learning (License CC BY 4.0)

    Zenodo

  4. Sentinel2GlobalLULC: A dataset of Sentinel-2 georeferenced RGB imagery acquired between June 2015 and October 2020 annotated for global land use/land cover mapping with deep learning (License CC BY 4.0)

    Zenodo

  5. Sentinel2GlobalLULC: A dataset of Sentinel-2 georeferenced RGB imagery annotated for global land use/land cover mapping with deep learning (License CC BY 4.0)

    Zenodo

  6. Sentinel2GlobalLULC: A dataset of Sentinel-2 georeferenced RGB imagery annotated for global land use/land cover mapping with deep learning (License CC BY 4.0)

    Zenodo

  7. TimeSpec4LULC: A Smart-Global Dataset of Multi-Spectral Time Series of MODIS Terra-Aqua from 2000 to 2021 for Training Machine Learning models to perform LULC Mapping

    Zenodo

  8. TimeSpec4LULC: A Smart-Global Dataset of Multi-Spectral Time Series of MODIS Terra-Aqua from 2000 to 2021 for Training Machine Learning models to perform LULC Mapping

    Zenodo

  9. TimeSpec4LULC: a global multispectral time series database for training LULC mapping models with machine learning

    Earth System Science Data

2021

  1. Mask R-CNN and OBIA fusion improves the segmentation of scattered vegetation in very high-resolution optical sensors

    Sensors (Switzerland), Vol. 21, Núm. 1, pp. 1-17

  2. Olive tree biovolume from uav multi-resolution image segmentation with mask r-cnn

    Sensors, Vol. 21, Núm. 5, pp. 1-17

  3. Sentinel2GlobalLULC: A dataset of Sentinel-2 georeferenced RGB imagery acquired between June 2015 and October 2020 annotated for global land use/land cover mapping with deep learning (License CC BY 4.0)

    Zenodo

  4. TimeSpec4LULC: A deep learning-oriented global dataset of MODIS Terra-Aqua multi-spectral time series measured from 2002 to 2021 for LULC mapping and change detection.

    Zenodo

2020

  1. COVIDGR Dataset and COVID-SDNet Methodology for Predicting COVID-19 Based on Chest X-Ray Images

    IEEE Journal of Biomedical and Health Informatics, Vol. 24, Núm. 12, pp. 3595-3605

  2. FuCiTNet: Improving the generalization of deep learning networks by the fusion of learned class-inherent transformations

    Information Fusion, Vol. 63, pp. 188-195

  3. Tree cover estimation in global drylands from space using deep learning

    Remote Sensing, Vol. 12, Núm. 3

2019

  1. Whale counting in satellite and aerial images with deep learning

    Scientific Reports, Vol. 9, Núm. 1

2017

  1. Deep-learning Versus OBIA for scattered shrub detection with Google Earth Imagery: Ziziphus lotus as case study

    Remote Sensing, Vol. 9, Núm. 12