The capability of associating an image to its geographical location is a significant concern in journalism and digital forensics. Given the availability of geo-tagged satellite imagery for most of the Earth's surface, retrieving the location of a generic picture can be addressed as a cross-view image matching between aerial and ground views. In this paper, we outline some initial steps toward the development of a fully-unsupervised algorithm for ground-to-aerial image matching, exploiting the view-invariant adjacency relationships of the landmarks appearing in both views. We introduce a graph-based strategy that, given a set of pre-extracted landmarks, localizes the viewpoint of a ground-level 360-degree image within a broad aerial view of the same area, by matching the respective landmark graphs according to a specifically designed likelihood model.

中文翻译：

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通过地标图匹配进行地对空视点定位


将图像与其地理位置相关联的能力是新闻和数字取证中的一个重要问题。鉴于地球表面大部分地区都有地理标记的卫星图像，检索通用图片的位置可以作为空中视图和地面视图之间的交叉视图图像匹配来解决。在本文中，我们概述了开发用于地空图像匹配的完全无监督算法的一些初步步骤，利用两个视图中出现的地标的视图不变邻接关系。我们引入了一种基于图的策略，在给定一组预先提取的地标的情况下，通过根据具体的地标图匹配相应的地标图，在同一区域的广阔鸟瞰图中定位地面 360 度图像的视点。设计的似然模型。