Multimission/Multifrequency SAR for Improving the Monitoring of Coastal Areas. - Maria Daniela Graziano; Roberto Del Prete; Alfredo Renga (IGARSS, 2021)

RetinaNet: A deep learning architecture to achieve a robust wake detector in SAR images. - Roberto Del Prete; Maria Daniela Graziano; Alfredo Renga (RTSI, 2021)

First Results on Wake Detection in SAR Images by Deep Learning. - Roberto Del Prete; Maria Daniela Graziano; Alfredo Renga (Remote. Sens., 2021)

First Results of Ship Wake Detection by Deep Learning Techniques in Multispectral Spaceborne Images. - Claudio Esposito; Roberto Del Prete; Maria Daniela Graziano; Alfredo Renga (IGARSS, 2022)

Maritime Monitoring by Multi-Frequency SAR Data. - 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 (IGARSS, 2022)

Band Selection Neural Network-Based Methodology Using L0 Data. - David Llavería; Nicolas Longépé; Gabriele Meoni; Roberto Del Prete; Adriano Camps (IGARSS, 2023)

Multi-Frequency SAR Data for an Effective Maritime Domain Awareness. - Roberto Del Prete; Marco Grasso; Maria Daniela Graziano; Alfredo Renga (IGARSS, 2023)

First Results of Vessel Detection with Onboard Processing of Sentinel-2 Raw Data by Deep Learning. - Roberto Del Prete; Gabriele Meoni; Nicolas Longépé; Maria Daniela Graziano; Alfredo Renga (IGARSS, 2023)

THRawS: A Novel Dataset for Thermal Hotspots Detection in Raw Sentinel-2 Data. - Gabriele Meoni; Roberto Del Prete; Federico Serva; Alix De Beussche; Olivier Colin; Nicolas Longépé (CoRR, 2023)

Keypoints Method for Recognition of Ship Wake Components in Sentinel-2 Images by Deep Learning. - Roberto Del Prete; Maria Daniela Graziano; Alfredo Renga (IEEE Geosci. Remote. Sens. Lett., 2023)

Unified Framework for Ship Detection in Multi-Frequency SAR Images: A Demonstration with COSMO-SkyMed, Sentinel-1, and SAOCOM Data. - Roberto Del Prete; Maria Daniela Graziano; Alfredo Renga (Remote. Sens., 2023)

A Dual-Mode Approach for Vision-Based Navigation in a Lunar Landing Scenario. - Luca Ostrogovich; Roberto Del Prete; Giuseppe Tomasicchio; Nicolas Longépé; Alfredo Renga (CVPR Workshops, 2024)

Enhanced Maritime Monitoring Via Onboard Processing Of Raw Multi-Spectral Imagery by Deep Learning. - Roberto Del Prete; Gabriele Meoni; Manuel Salvoldi; Domenico Barretta; Maria Daniela Graziano; Nicolas Longépé; Alfredo Renga (IGARSS, 2024)

Convolutional-Neural-Network-Based Onboard Band Selection for Hyperspectral Data With Coarse Band-to-Band Alignment. - David Llaveria Godoy; Nicolas Longépé; Gabriele Meoni; Roberto Del Prete; Adriano Camps (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

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

Unlocking the Use of Raw Multispectral Earth Observation Imagery for Onboard Artificial Intelligence. - Gabriele Meoni; Roberto Del Prete; Federico Serva; Alix De Beussche; Olivier Colin; Nicolas Longépé (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Enhancing Maritime Situational Awareness Through End-to-End Onboard Raw Data Analysis. - Roberto Del Prete; Manuel Salvoldi; Domenico Barretta; Nicolas Longépé; Gabriele Meoni; Arnon Karnieli; Maria Daniela Graziano; Alfredo Renga (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Supervised and self-supervised land-cover segmentation & classification of the Biesbosch wetlands. - Eva Gmelich Meijling; Roberto Del Prete; Arnoud Visser (CoRR, 2025)