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Author Title [ Type(Desc)] Year
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Conference Paper
Salgueiro L, Marcello J, Vilaplana V. Comparative study of upsampling methods for super-resolution in remote sensing. In International Conference on Machine Vision. 2019.
Moliner E, Salgueiro L, Vilaplana V. Weakly Supervised Semantic Segmentation for Remote Sensing Hyperspectral Imaging. In International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020). 2020.
Journal Article
Abadal S, Salgueiro L, Marcello J, Vilaplana V. A Dual Network for Super-Resolution and Semantic Segmentation of Sentinel-2 imagery. Remote Sensing. 2021;13(22):4547.
Salgueiro L, Marcello J, Vilaplana V. SEG-ESRGAN: A multi-task network for super-resolution and semantic segmentation of remote sensing images. Remote Sensing. In Press;.
Salgueiro L, Marcello J, Vilaplana V. Single-image super-resolution of Sentinel-2 low resolution bands with residual dense convolutional neural networks. Remote Sensing. 2021;13(24):5007.
Salgueiro L, Marcello J, Vilaplana V. Super-Resolution of Sentinel-2 Imagery Using Generative Adversarial Networks. Remote Sensing. 2020;12(15).
Ms Thesis
Balibrea M. Deep learning for semantic segmentation of airplane hyperspectral imaging. Salgueiro L, Vilaplana V. 2019.
Thesis
Salgueiro L. Super-resolution and semantic segmentation of remote sensing images using deep learning techniques. Vilaplana V, Marcello J. Signal Theory and Communications Department. 2022.