arXiv:2503.04927cs.CV2025-03被引 2

无需元数据,用卫星图和3D模型实现地面与航拍影像的精准地理定位。

Metadata-free Georegistration of Ground and Airborne Imagery

  • 利用卫星影像和数字地表模型,结合神经辐射场生成技术进行地理配准。
  • 在多个不同场景下成功实现航拍与地面影像模型的精确对齐。
  • 不依赖任何相机元数据,适用于各类无元数据的影像数据集。

地面与航拍影像的异构集合可快速构建高质量三维模型及新视角渲染。标准摄影测量流程生成的模型位于任意坐标系,这对需要地理参考的应用造成困扰。即使不需要地理注册的应用,地理配准也能用于对齐由非重叠数据生成的独立模型。本文提出的方法利用卫星影像、对应的数字地表模型(DSM)以及现代3D建模技术(如神经辐射场)的新视角生成能力,实现航拍影像的鲁棒地理注册,并发展出将地面影像注册到航拍模型的技术。实验表明,该方法在多种不同地点均成功实现了航拍与地面摄影测量模型的地理注册。所提方法仅需卫星参考产品作为输入,无需其他元数据,具备广泛适用性。

原文摘要 · Abstract (English)

Heterogeneous collections of ground and airborne imagery can readily be used to create high-quality 3D models and novel viewpoint renderings of the observed scene. Standard photogrammetry pipelines generate models in arbitrary coordinate systems, which is problematic for applications that require georegistered models. Even for applications that do not require georegistered models, georegistration is useful as a mechanism for aligning multiple disconnected models generated from non-overlapping data. The proposed method leverages satellite imagery, an associated digital surface model (DSM), and the novel view generation capabilities of modern 3D modeling techniques (e.g. neural radiance fields) to provide a robust method for georegistering airborne imagery, and a related technique for registering ground-based imagery to models created from airborne imagery. Experiments demonstrate successful georegistration of airborne and ground-based photogrammetric models across a variety of distinct sites. The proposed method does not require use of any metadata other than a satellite-based reference product and therefore has general applicability.

地理配准3D重建神经辐射场卫星影像

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