15 citations · 50 across the 27 of their papers we have counts for
7 papers · 1 filter
Volcanic Clouds Detection through QCNN and Geostationary Satellite Multispectral Imagery
Federica Torrisi, Claudia Corradino, Alessandro Grilli +5
Recent advances in quantum computing are opening new possibilities for Earth Observation (EO) data analysis. Quantum machine learning (QML) approaches offer novel ways to process i…
A Quantum-assisted Attention U-Net for Building Segmentation over Tunis using Sentinel-1 Data
Luigi Russo, Francesco Mauro, Babak Memar +3
Building segmentation in urban areas is essential in fields such as urban planning, disaster response, and population mapping. Yet accurately segmenting buildings in dense urban re…
Benchmarking of a new data splitting method on volcanic eruption data
Simona Reale, Pietro Di Stasio, Francesco Mauro +3
In this paper, a novel method for data splitting is presented: an iterative procedure divides the input dataset of volcanic eruption, chosen as the proposed use case, into two part…
Using Multi-Temporal Sentinel-1 and Sentinel-2 data for water bodies mapping
Luigi Russo, Francesco Mauro, Babak Memar +3
Climate change is intensifying extreme weather events, causing both water scarcity and severe rainfall unpredictability, and posing threats to sustainable development, biodiversity…
On Board Volcanic Eruption Detection through CNNs and Satellite Multispectral Imagery
Maria Pia Del Rosso, Alessandro Sebastianelli, Dario Spiller +2
In recent years, the growth of Machine Learning (ML) algorithms has raised the number of studies including their applicability in a variety of different scenarios. Among all, one o…
Spatio-Temporal SAR-Optical Data Fusion for Cloud Removal via a Deep Hierarchical Model
Alessandro Sebastianelli, Artur Nowakowski, Erika Puglisi +5
Cloud removal is a relevant topic in Remote Sensing as it fosters the usability of high-resolution optical images for Earth monitoring and study. Related techniques have been analy…
A New Mask R-CNN Based Method for Improved Landslide Detection
Silvia Liberata Ullo, Amrita Mohan, Alessandro Sebastianelli +4
This paper presents a novel method of landslide detection by exploiting the Mask R-CNN capability of identifying an object layout by using a pixel-based segmentation, along with tr…