发表机构
University of California San Diego; Washington and Lee University; Editech（加利福尼亚大学圣迭戈分校; 华盛顿与李大学; 爱迪泰克公司）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
该研究以佛罗伦萨兰齐凉廊为对象，通过对比原生分辨率、FLIR UltraMax硬件超分辨率及AI上采样模型的热成像效果，为文化遗产热成像摄影测量工作流程提供了硬件与AI超分辨率的直接对比数据，相关数据集公开并集成到扩展现实应用中。
AI 中文摘要
佛罗伦萨领主广场的兰齐凉廊是该市最著名的建筑之一，每年吸引数百万游客，其建造历史历经多个世纪的改建。本文呈现了2025年12月开展的热成像勘测结果，使用FLIR T1020 HD相机，揭示了隐藏的建筑特征，包括被封堵的开口以及灰泥表面下的材料过渡。有利的冬季环境条件提供了特征丰富的基准，用于对比增强算法和人工智能模型的结果。我们通过在摄影测量运动恢复结构（SfM）流程中对比三个图像分辨率层级，评估基于AI的图像增强在热成像遗产文档中的应用：原生分辨率、FLIR基于硬件的像素移位超分辨率（UltraMax）以及最先进的AI上采样图像模型。我们量化了每个分辨率层级对特征检测和连接点生成的影响，评估超分辨率（无论是硬件还是AI生成）产生的额外细节是否能转化为更密集、更准确的三维热模型。我们的研究通过在文化遗产热成像摄影测量工作流程中直接对比硬件微扫描和AI超分辨率，为人工智能与遗产热成像这一新兴交叉领域做出了贡献。所有数据集均公开可用，可在交互式三维归档框架中访问，并集成到定制的全市范围扩展现实叠加应用中。
英文摘要
The Loggia dei Lanzi in the Piazza della Signoria is one of Florence's most prominent structures visited by millions every year. Its construction history spans multiple centuries of modification. This paper presents the results of a thermal imaging campaign conducted in December 2025, using a FLIR T1020 HD camera, revealing hidden architectural features including walled-up openings and material transitions beneath the plaster surface. The favorable winter ambient conditions provided a feature-rich benchmark upon which to compare the results of enhancement algorithms and artificial intelligence models. We evaluate the application of AI-based image enhancement to thermal heritage documentation through a comparison of three tiers of image resolution in a photogrammetric Structure-from-Motion (SfM) pipeline: native resolution, FLIR's hardware-based pixel-shifted super-resolution (UltraMax), and state of the art AI-upscaled imagery models. We quantify the effect of each resolution tier on feature detection and tie-point generation, assessing whether the additional detail produced by super-resolution, whether hardware or AI-derived, translates into meaningfully denser and more accurate 3D thermal models. Our results contribute to the emerging intersection of artificial intelligence and heritage thermography by providing a direct comparison of hardware microscanning and AI super-resolution within a thermal photogrammetric workflow for cultural heritage. All datasets are made publicly available and accessible within an interactive 3D archival framework, and integrated into a custom citywide extended reality overlay application.
Comments19 pages, 10 figures, to be presented at the 8th International Symposium on Cultural Heritage Conservation by Digitization (CHCD2026) in Beijing
