Ph.D. in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 33rd cycle (2017-2020)
Ph.D. obtained in 2021
Dissertation:
Deep learning for inverse problems in remote sensing: super-resolution and SAR despeckling (Abstract)
Tutors:
Enrico Magli Marco Mellia
Research presentation:
Video presentationProfile
Research topic
Deep neural network for Super-resolution of Unregistered Multitemporal images
Research interests
Publications
Works published during the Ph.D. View all publications in Porto@Iris
- BORDONE MOLINI, Andrea (2021)
Deep learning for inverse problems in remote sensing: super-resolution and SAR despeckling. relatore: MAGLI, ENRICO; MELLIA, MARCO; , 33. XXXIII Ciclo, P.: 118
Doctoral Thesis - Bordone Molini, A.; Valsesia, D.; Fracastoro, G.; Magli, E. (2020)
DeepSUM: Deep Neural Network for Super-Resolution of Unregistered Multitemporal Images. In: IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, vol. 58, pp. 3644-3656. ISSN 0196-2892
Contributo su Rivista - Molini, Andrea Bordone; Valsesia, Diego; Fracastoro, Giulia; Magli, Enrico (2020)
Towards Deep Unsupervised SAR Despeckling with Blind-Spot Convolutional Neural Networks. In: International Geoscience and Remote Sensing Symposium (IGARSS), pp. 2507-2510
Contributo in Atti di Convegno (Proceeding) - Molini, Andrea Bordone; Valsesia, Diego; Fracastoro, Giulia; Magli, Enrico (2020)
DeepSUM++: Non-local Deep Neural Network for Super-Resolution of Unregistered Multitemporal Images. In: International Geoscience and Remote Sensing Symposium, IGARSS 2020, pp. 3644-3656
Contributo in Atti di Convegno (Proceeding) - BORDONE MOLINI, Andrea; Valsesia, Diego; Fracastoro, Giulia; Magli, Enrico (2019)
Deep Learning For Super-Resolution Of Unregistered Multi-Temporal Satellite Images. In: Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), pp. 1-5. ISBN: 978-1-7281-5294-3
Contributo in Atti di Convegno (Proceeding)