Roberto Del Prete

Orcid: 0000-0003-0810-4050

According to our database1, Roberto Del Prete authored at least 16 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2024
Unlocking the Use of Raw Multispectral Earth Observation Imagery for Onboard Artificial Intelligence.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Simulation of Multispectral and Hyperspectral EO Products for Onboard Machine Learning Application.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

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., 2024

Enhanced Maritime Monitoring Via Onboard Processing Of Raw Multi-Spectral Imagery by Deep Learning.
Proceedings of the IGARSS 2024, 2024

A Dual-Mode Approach for Vision-Based Navigation in a Lunar Landing Scenario.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Unified Framework for Ship Detection in Multi-Frequency SAR Images: A Demonstration with COSMO-SkyMed, Sentinel-1, and SAOCOM Data.
Remote. Sens., March, 2023

Keypoints Method for Recognition of Ship Wake Components in Sentinel-2 Images by Deep Learning.
IEEE Geosci. Remote. Sens. Lett., 2023

THRawS: A Novel Dataset for Thermal Hotspots Detection in Raw Sentinel-2 Data.
CoRR, 2023

First Results of Vessel Detection with Onboard Processing of Sentinel-2 Raw Data by Deep Learning.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Multi-Frequency SAR Data for an Effective Maritime Domain Awareness.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Band Selection Neural Network-Based Methodology Using L0 Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
Maritime Monitoring by Multi-Frequency SAR Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

First Results of Ship Wake Detection by Deep Learning Techniques in Multispectral Spaceborne Images.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021
First Results on Wake Detection in SAR Images by Deep Learning.
Remote. Sens., 2021

RetinaNet: A deep learning architecture to achieve a robust wake detector in SAR images.
Proceedings of the 6th IEEE International Forum on Research and Technology for Society and Industry, 2021

Multimission/Multifrequency SAR for Improving the Monitoring of Coastal Areas.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021


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