2 papers
cs.CV2026
Promptable Foundation Models for SAR Remote Sensing: Adapting the Segment Anything Model for Snow Avalanche Segmentation
Riccardo Gelato, Carlo Sgaravatti, Jakob Grahn +2
Remote sensing solutions for avalanche segmentation and mapping are key to supporting risk forecasting and mitigation in mountain regions. Synthetic Aperture Radar (SAR) imagery fr…
cs.CV2025
Monitoring snow avalanches from SAR data with deep learning
Filippo Maria Bianchi, Jakob Grahn
Snow avalanches present significant risks to human life and infrastructure, particularly in mountainous regions, making effective monitoring crucial. Traditional monitoring methods…