Martina Pastorino

According to our database, Martina Pastorino authored at least 10 papers between 2021 and 2023.

Collaborative distances:

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

2023

Probabilistic graphical models and deep learning methods for remote sensing image analysis.

Martina Pastorino

PhD thesis, 2023

Learning CRF potentials through fully convolutional networks for satellite image semantic segmentation.

Martina Pastorino, Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia

Proceedings of the 17th International Conference on Signal-Image Technology & Internet-Based Systems, 2023

Classification of Multimission SAR Images Based on Probabilistic Graphical Models and Convolutional Neural Networks.

Martina Pastorino, Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

Semantic Segmentation of Remote-Sensing Images Through Fully Convolutional Neural Networks and Hierarchical Probabilistic Graphical Models.

Martina Pastorino, Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia

IEEE Trans. Geosci. Remote. Sens., 2022

Multimodal Fusion of Mobility Demand Data and Remote Sensing Imagery for Urban Land-Use and Land-Cover Mapping.

Martina Pastorino, Federico Gallo, Angela Di Febbraro, Gabriele Moser, Nicola Sacco, Sebastiano B. Serpico

Remote. Sens., 2022

Semantic Segmentation of SAR Images Through Fully Convolutional Networks and Hierarchical Probabilistic Graphical Models.

Martina Pastorino, Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia

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

Fully Convolutional and Feedforward Networks for The Semantic Segmentation of Remotely Sensed Images.

Martina Pastorino, Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021

Multisensor and Multiresolution Remote Sensing Image Classification through a Causal Hierarchical Markov Framework and Decision Tree Ensembles.

Martina Pastorino, Alessandro Montaldo, Luca Fronda, Ihsen Hedhli, Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia

Remote. Sens., 2021

Semantic Segmentation of Remote Sensing Images Combining Hierarchical Probabilistic Graphical Models and Deep Convolutional Neural Networks.

Martina Pastorino, Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia

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

Hierarchical Probabilistic Graphical Models and Deep Convolutional Neural Networks for Remote Sensing Image Classification.

Martina Pastorino, Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia

Proceedings of the 29th European Signal Processing Conference, 2021