2 papers
cs.CV2026
A Comparative Study of Transformer and Convolutional Models for Crop Segmentation from Satellite Image Time Series
Mattia Gatti, Ignazio Gallo, Nicola Landro +4
Crop segmentation from satellite image time series (SITS) is a fundamental task for agricultural monitoring and land-use analysis. While convolutional neural networks (CNNs) have b…
cs.CV2026
Large-Scale Avalanche Mapping from SAR Images with Deep Learning-based Change Detection
Mattia Gatti, Alberto Mariani, Ignazio Gallo +1
Accurate change detection from satellite imagery is essential for monitoring rapid mass-movement hazards such as snow avalanches, which increasingly threaten human life, infrastruc…