Publicaciones en colaboración con investigadores/as de Universidad Complutense de Madrid (14)

2022

  1. A New 3D Convolution Network for Hyperspectral Unmixing

    International Geoscience and Remote Sensing Symposium (IGARSS)

  2. A New Deep Convolutional Network for Effective Hyperspectral Unmixing

    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 15, pp. 6999-7012

  3. Adaptive Dictionary Construction for Hyperspectral Anomaly Detection Based on Collaborative Representation

    International Geoscience and Remote Sensing Symposium (IGARSS)

  4. Bi-Dimensional Vector Data Analysis of Positional Accuracy of Landsat-8 Image with Pycircularstats

    International Geoscience and Remote Sensing Symposium (IGARSS)

  5. Deep Attention-Driven HSI Scene Classification Based on Inverted Dot-Product

    International Geoscience and Remote Sensing Symposium (IGARSS)

  6. Efficient Semantic Segmentation of Hyperspectral Images Using Adaptable Rectangular Convolution

    IEEE Geoscience and Remote Sensing Letters, Vol. 19

  7. Heterogeneous gradient computing optimization for scalable deep neural networks

    Journal of Supercomputing, Vol. 78, Núm. 11, pp. 13455-13469

  8. Multiple Attention-Guided Capsule Networks for Hyperspectral Image Classification

    IEEE Transactions on Geoscience and Remote Sensing, Vol. 60

  9. Optimizing Distributed Deep Learning in Heterogeneous Computing Platforms for Remote Sensing Data Classification

    International Geoscience and Remote Sensing Symposium (IGARSS)

  10. PyCircularStats: A Python-Based Tool for Remote Sensing Circular Statistics and Graphical Analysis

    International Geoscience and Remote Sensing Symposium (IGARSS)

  11. Remote Sensing Image Classification Using CNNs With Balanced Gradient for Distributed Heterogeneous Computing

    IEEE Geoscience and Remote Sensing Letters, Vol. 19

  12. Separable Attention Network in Single- And Mixed-Precision Floating Point for Land-Cover Classification of Remote Sensing Images

    IEEE Geoscience and Remote Sensing Letters, Vol. 19