Taddeo D'Adamo, Simon Thivet, Catherine Pothier, Riccardo Simionato, Allan Fries, Jonathan Lemus, Costanza Bonadonna, Laure Tougne Rodet · 2026 · arXiv
DOI: 10.48550/arXiv.2610.29825 · open-access PDF
El análisis cuantitativo de los fenómenos ambientales se basa cada vez más en las mediciones basadas en imágenes. En volcanología, la caracterización geométrica de plumas y nubes volcánicas de imágenes RGB sigue siendo obstaculizada por la escasez de soluciones de segmentación dedicadas y las anotaciones parcialmente artesanales siguen estando ampliamente prevalentes. Presentamos GuidedSAM-Plume, un marco de código abierto orientado por expertos adaptado para la segmentación interactiva de plumas y nubes volcánicas. Se aprovecha de las capacidades basadas en prompt espaciales de SAM2.
Machine translation (Meta M2M100); the English original follows.
Quantitative analysis of environmental phenomena increasingly relies on image-based measurements. In volcanology, the geometric characterization of volcanic plumes and clouds from RGB images remains hindered by the scarcity of dedicated segmentation solutions and partially handcrafted annotations remain widely prevalent. We present GuidedSAM-Plume, an open-source expert-guided framework tailored for the interactive segmentation of volcanic plumes and clouds. It leverages the zero-shot, spatial prompt-based capabilities of SAM2. The framework was thoroughly validated on a challenging dataset th
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