Luis Fernando Salgueiro

Biography

I recieved the degree in Electronic Engineering in 2013 from the National University of Asunción (UNA), Paraguay and a M.Sc. in Applied Computing from the National Institute for Space Research (INPE), Brazil in 2015, holding a scholarship from the Brazilian Goverment (CNPq).

Currently I'm a Ph.D. candidate in the Image Processing Group at UPC (GPI), under the supervision of Professor Verónica Vilaplana and Professor Javier Marcello (ULPGC), holding a scholarship of the Paraguayan Government (BECAL). Also, I'm a research assistant (with permission) at the UNA.

My main research area is focused on remote sensing image processing, like improving the resolution of optical images and segmentation for land-cover classification.

Journal Articles top

2022
L. Salgueiro, Marcello, J., and Vilaplana, V., “SEG-ESRGAN: A multi-task network for super-resolution and semantic segmentation of remote sensing images”, Remote Sensing, vol. 14, no. 22, 2022. DOI Google Scholar BibTex

2021
S. Abadal, Salgueiro, L., Marcello, J., and Vilaplana, V., “A Dual Network for Super-Resolution and Semantic Segmentation of Sentinel-2 imagery”, Remote Sensing, vol. 13, no. 22, p. 4547, 2021. Google Scholar BibTex
L. Salgueiro, Marcello, J., and Vilaplana, V., “Single-image super-resolution of Sentinel-2 low resolution bands with residual dense convolutional neural networks”, Remote Sensing, vol. 13, no. 24, p. 5007, 2021. Google Scholar BibTex

2020
L. Salgueiro, Marcello, J., and Vilaplana, V., “Super-Resolution of Sentinel-2 Imagery Using Generative Adversarial Networks”, Remote Sensing, vol. 12, no. 15, 2020. Google Scholar BibTex

Conference Papers top

2020
E. Moliner, Salgueiro, L., and Vilaplana, V., “Weakly Supervised Semantic Segmentation for Remote Sensing Hyperspectral Imaging”, in International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020), 2020. Google Scholar BibTex

2019
L. Salgueiro, Marcello, J., and Vilaplana, V., “Comparative study of upsampling methods for super-resolution in remote sensing”, in International Conference on Machine Vision, 2019. Google Scholar BibTex

Theses top

2022
L. Salgueiro, “Super-resolution and semantic segmentation of remote sensing images using deep learning techniques”, 2022. Google Scholar BibTex

Other top

2019
M. Balibrea, “Deep learning for semantic segmentation of airplane hyperspectral imaging”. 2019. Google Scholar BibTex	Ms Thesis