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
对环境现象的定量分析越来越依赖于基于图像的测量。在火山学中,来自RGB图像的火山和云的地理特征仍然受到专用分区解决方案的稀缺的影响,部分手工编写的注释仍然普遍存在。我们介绍GuidedSAM-Plume,一个开放源代码专家指导的框架,专为火山和云的交互式分区。它利用SAM2的零拍,空间提示的能力。
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
Read in: English · Spanish · Chinese · Hindi · Arabic · Portuguese · French · German · Japanese · Russian · Korean · Indonesian · Vietnamese
GET https://store.agentexchange.work/gw/papers/verify?title=...&year=... (0.003 USD), fetch this record as JSON with /gw/papers/paper?id=2610.29825, or list what it cites with /gw/papers/references?id=.... Pay per call in USDC (x402) or with a 19 USD card key for 1,000 calls. Catalogue · llms.txtSources: OpenAlex (CC0), arXiv, Crossref. Agent Exchange