David Solarna

According to our database, David Solarna authored at least 16 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

A goal-driven unsupervised image segmentation method combining graph-based processing and Markov random fields.

Marco Trombini, David Solarna, Gabriele Moser, Silvana G. Dellepiane

Pattern Recognit., 2023

2022

Registration of Multisensor Images through a Conditional Generative Adversarial Network and a Correlation-Type Similarity Measure.

Luca Maggiolo, David Solarna, Gabriele Moser, Sebastiano Bruno Serpico

Remote. Sens., 2022

Graph-Based Segmentation and Markov Random Field for Covid-19 Infection in Lung CT Volumes.

Giulia Iaconi, Federica Ferraro, Marco Balletto, David Solarna, Marco Trombini, Gabriele Moser, Silvana G. Dellepiane

Proceedings of the Advances in System-Integrated Intelligence, 2022

A Tiling-Based Strategy for Large-Scale Multisensor Optical-Sar Image Registration.

David Solarna, Luca Maggiolo, Gabriele Moser, Sebastiano B. Serpico

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Optical-SAR Decision Fusion with Markov Random Fields for High-Resolution Large-Scale Land Cover Mapping.

Luca Maggiolo, David Solarna, Gabriele Moser, Sebastiano B. Serpico

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021

Machine Learning and Pattern Recognition Methods for Remote Sensing Image Registration and Fusion.

David Solarna

PhD thesis, 2021

Monitoring the Recovery after 2016 Hurricane Matthew in Haiti via Markovian Multitemporal Region-Based Modeling.

Andrea De Giorgi, David Solarna, Gabriele Moser, Deodato Tapete, Francesca Cigna, Giorgio Boni, Roberto Rudari, Sebastiano Bruno Serpico, Anna Rita Pisani, Antonio Montuori, Simona Zoffoli

Remote. Sens., 2021

Experimental Comparison of Registration Methods for Multisensor Sar-Optical Data.

Béatrice Pinel-Puysségur, Luca Maggiolo, Michel Roux, Nicolas Gasnier, David Solarna, Gabriele Moser, Sebastiano B. Serpico, Florence Tupin

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020

Crater Detection and Registration of Planetary Images Through Marked Point Processes, Multiscale Decomposition, and Region-Based Analysis.

David Solarna, Alberto Gotelli, Jacqueline Le Moigne, Gabriele Moser, Sebastiano B. Serpico

IEEE Trans. Geosci. Remote. Sens., 2020

Automatic Area-Based Registration of Optical and SAR Images Through Generative Adversarial Networks and a Correlation-Type Metric.

Luca Maggiolo, David Solarna, Gabriele Moser, Sebastiano B. Serpico

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019

Virtual Reality and Autonomous Systems to Enhance Underwater Situational and Spatial Awareness.

Alberto Tremori, Arnau Carrera Viñas, David Solarna, Pilar Caamaño Sobrino, Sasha B. Godfrey

Proceedings of the Modelling and Simulation for Autonomous Systems, 2019

Multiresolution and Multimodality Sar Data Fusion Based on Markov and Conditional Random Fields for Unsupervised Change Detection.

David Solarna, Gabriele Moser, Sebastiano B. Serpico

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018

A Markovian Approach to Unsupervised Change Detection with Multiresolution and Multimodality SAR Data.

David Solarna, Gabriele Moser, Sebastiano B. Serpico

Remote. Sens., 2018

2017

A Verification, Validation and Accreditation Process for Autonomous Interoperable Systems.

Alberto Tremori, Pilar Caamaño Sobrino, Arnau Carrera Viñas, Giovanni Luca Maglione, David Solarna, Robert Been, Thomas Mansfield

Proceedings of the Modelling and Simulation for Autonomous Systems, 2017

Planetary crater detection and registration using marked point processes, multiple birth and death algorithms, and region-based analysis.

David Solarna, Gabriele Moser, Jacqueline Le Moigne, Sebastiano B. Serpico

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016

Supervised classification of thermal infrared hyperspectral images through Bayesian, Markovian, and region-based approaches.

Francesco Barisione, David Solarna, Andrea De Giorgi, Gabriele Moser, Sebastiano B. Serpico

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016