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ORCIDRoberto Del Prete
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2020 – today
- 2024
[j6]Gabriele Meoni
, Roberto Del Prete, Federico Serva, Alix De Beussche, Olivier Colin, Nicolas Longépé:
Unlocking the Use of Raw Multispectral Earth Observation Imagery for Onboard Artificial Intelligence. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 12521-12537 (2024)- [j5]David Llaveria Godoy, Nicolas Longépé, Gabriele Meoni, Roberto Del Prete, Adriano Camps:
Convolutional-Neural-Network-Based Onboard Band Selection for Hyperspectral Data With Coarse Band-to-Band Alignment. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 16467-16475 (2024) - [j4]Nicolas Longépé, Isabella Petrelli, Nika Oman Kadunc, Devis Peressutti, Roberto Del Prete, Mauro Casaburi, Irina Babkina, Nathan Vercruyssen, Elisa Callejo Luis, Álvaro Morón Elorza, Valentina Marchese, Agne Paskeviciute Kidron, Nicola Melega:
Simulation of Multispectral and Hyperspectral EO Products for Onboard Machine Learning Application. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 17651-17665 (2024) - [c9]Luca Ostrogovich, Roberto Del Prete, Giuseppe Tomasicchio, Nicolas Longépé, Alfredo Renga:
A Dual-Mode Approach for Vision-Based Navigation in a Lunar Landing Scenario. CVPR Workshops 2024: 6799-6808 - [c8]Roberto Del Prete, Gabriele Meoni, Manuel Salvoldi, Domenico Barretta, Maria Daniela Graziano, Nicolas Longépé, Alfredo Renga:
Enhanced Maritime Monitoring Via Onboard Processing Of Raw Multi-Spectral Imagery by Deep Learning. IGARSS 2024: 1713-1717 - 2023
- [j3]Roberto Del Prete, Maria Daniela Graziano, Alfredo Renga:
Keypoints Method for Recognition of Ship Wake Components in Sentinel-2 Images by Deep Learning. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j2]Roberto Del Prete, Maria Daniela Graziano, Alfredo Renga:
Unified Framework for Ship Detection in Multi-Frequency SAR Images: A Demonstration with COSMO-SkyMed, Sentinel-1, and SAOCOM Data. Remote. Sens. 15(6): 1582 (2023) - [c7]Roberto Del Prete, Marco Grasso, Maria Daniela Graziano, Alfredo Renga:
Multi-Frequency SAR Data for an Effective Maritime Domain Awareness. IGARSS 2023: 1577-1580 - [c6]David Llavería, Nicolas Longépé, Gabriele Meoni, Roberto Del Prete, Adriano Camps:
Band Selection Neural Network-Based Methodology Using L0 Data. IGARSS 2023: 1879-1882 - [c5]Roberto Del Prete, Gabriele Meoni, Nicolas Longépé, Maria Daniela Graziano, Alfredo Renga:
First Results of Vessel Detection with Onboard Processing of Sentinel-2 Raw Data by Deep Learning. IGARSS 2023: 6262-6265 - [i1]Gabriele Meoni, Roberto Del Prete, Federico Serva, Alix De Beussche, Olivier Colin, Nicolas Longépé:
THRawS: A Novel Dataset for Thermal Hotspots Detection in Raw Sentinel-2 Data. CoRR abs/2305.11891 (2023) - 2022
- [c4]Claudio Esposito, Roberto Del Prete, Maria Daniela Graziano, Alfredo Renga:
First Results of Ship Wake Detection by Deep Learning Techniques in Multispectral Spaceborne Images. IGARSS 2022: 2167-2170 - [c3]Roberto Del Prete, Maria Daniela Graziano, Marco Grasso, Alfredo Renga, Livio Cricielli, Piera Centobelli, Antonio Moccia, Valerio Pisacane, Renato Aurigemma, Maria Virelli, Patrizia Sacco, Antonio Montuori:
Maritime Monitoring by Multi-Frequency SAR Data. IGARSS 2022: 5188-5191 - 2021
- [j1]Roberto Del Prete, Maria Daniela Graziano, Alfredo Renga:
First Results on Wake Detection in SAR Images by Deep Learning. Remote. Sens. 13(22): 4573 (2021) - [c2]Maria Daniela Graziano, Roberto Del Prete, Alfredo Renga:
Multimission/Multifrequency SAR for Improving the Monitoring of Coastal Areas. IGARSS 2021: 7480-7483 - [c1]Roberto Del Prete, Maria Daniela Graziano, Alfredo Renga:
RetinaNet: A deep learning architecture to achieve a robust wake detector in SAR images. RTSI 2021: 171-176
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