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Author Title [ Type(Desc)] Year
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Conference Paper
Albors L, Spínola M, Marcello J, Marques F, Rodríguez-Esparragón D, Eugenio F. Análisis multiresolución espacial del estado de conservación de un bosque de laurisilvas con sensores pasivos y activos de teledetección. In XX Congreso de la Asociación Española de Teledetección. Cádiz, España: Universidad de Cádiz; 2024.
Marcello J, Spínola M, Albors L, Marques F, Rodríguez-Esparragón D, Eugenio F. Comparative Analysis of Tree Segmentation Techniques on High- and Low-Density LiDAR data. In International Conference on Advanced Remote Sensing (ICARS 2025). Basel, Switzerland: MDPI; 2025.
Salgueiro L, Marcello J, Vilaplana V. Comparative study of upsampling methods for super-resolution in remote sensing. In International Conference on Machine Vision. 2019.
Mederos-Barrera A, Albors L, Martinez G, Marcello J, Eugenio F, Marques F. Generación de mapas de comunidades y hábitats bentónicos mediante el modelo Deep Learning U-Net utilizando imágenes satelitales multiespectrales de muy alta resolución. In XX Congreso de la Asociación Española de Teledetección. Cádiz, España: Universidad de Cádiz; 2024.
Journal Article
Albors L, Marcello J, Marques F. BiomSHARP: Biomass Super-Resolution for High Accuracy Prediction. IEEE Transactions on Geoscience and Remote Sensing. 2025;63:1-18.
Mederos-Barrera A, Albors L, Marques F, Marcello J, Martinez G, Eugenio F. Comparison of Conventional Machine Learning and Convolutional Deep Learning models for Seagrass Mapping using Satellite Imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2025;:1-19.
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.
Marcello J, Spínola M, Albors L, Marques F, Rodríguez-Esparragón D, Eugenio F. Performance of Individual Tree Segmentation Algorithms in Forest Ecosystems Using UAV LiDAR Data. Drones. 2024;8(12).
Salgueiro L, Marcello J, Vilaplana V. SEG-ESRGAN: A multi-task network for super-resolution and semantic segmentation of remote sensing images. Remote Sensing. 2022;14(22).
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).
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.