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arXiv:2506.18842 (cs)
[Submitted on 23 Jun 2025 ]

Title: LIGHTHOUSE: Fast and precise distance to shoreline calculations from anywhere on earth

Title: 灯塔:从地球任何地方快速精确计算到海岸线的距离

Authors:Patrick Beukema, Henry Herzog, Yawen Zhang, Hunter Pitelka, Favyen Bastani
Abstract: We introduce a new dataset and algorithm for fast and efficient coastal distance calculations from Anywhere on Earth (AoE). Existing global coastal datasets are only available at coarse resolution (e.g. 1-4 km) which limits their utility. Publicly available satellite imagery combined with computer vision enable much higher precision. We provide a global coastline dataset at 10 meter resolution, a 100+ fold improvement in precision over existing data. To handle the computational challenge of querying at such an increased scale, we introduce a new library: Layered Iterative Geospatial Hierarchical Terrain-Oriented Unified Search Engine (Lighthouse). Lighthouse is both exceptionally fast and resource-efficient, requiring only 1 CPU and 2 GB of RAM to achieve millisecond online inference, making it well suited for real-time applications in resource-constrained environments.
Abstract: 我们引入了一个新的数据集和算法,用于从地球任何地方(AoE)快速高效地计算沿海距离。 现有的全球沿海数据集仅在粗略分辨率(例如1-4公里)下可用,这限制了它们的实用性。 公开的卫星图像结合计算机视觉可以实现更高的精度。 我们提供了一个全球海岸线数据集,分辨率为10米,比现有数据的精度提高了100倍以上。 为了处理在如此大规模查询的计算挑战,我们引入了一个新库:分层迭代地理空间分层地形导向统一搜索引擎(Lighthouse)。 Lighthouse不仅非常快速且资源效率高,只需要1个CPU和2GB的RAM即可实现毫秒级在线推理,使其非常适合在资源受限环境中的实时应用。
Comments: 8 pages, 7 figures, 1 table, ICML 2025 ML4RS
Subjects: Databases (cs.DB) ; Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG)
Cite as: arXiv:2506.18842 [cs.DB]
  (or arXiv:2506.18842v1 [cs.DB] for this version)
  https://doi.org/10.48550/arXiv.2506.18842
arXiv-issued DOI via DataCite

Submission history

From: Patrick Beukema [view email]
[v1] Mon, 23 Jun 2025 17:00:34 UTC (7,922 KB)
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