构建10米精度全球海岸线数据集,支持毫秒级实时距离计算。
LIGHTHOUSE: Fast and precise distance to shoreline calculations from anywhere on earth
- 基于卫星影像与计算机视觉,生成10米分辨率全球海岸线数据
- 新算法Lighthouse在1核CPU、2GB内存下实现毫秒级查询响应
- 适合嵌入式设备或资源受限环境的实时地理应用
我们提出一种新的数据集和算法,实现从地球任意位置(AoE)快速精确计算到海岸线的距离。现有全球海岸线数据分辨率较低(如1-4公里),限制了其应用。结合公开卫星影像与计算机视觉技术,我们构建了10米分辨率的全球海岸线数据集,精度较现有数据提升100倍以上。为应对高分辨率查询带来的计算挑战,我们开发了新型库:分层迭代地理空间分层地形导向统一搜索引擎(Lighthouse)。该引擎兼具极快速度与低资源消耗,仅需1个CPU和2GB内存即可实现毫秒级在线推理,非常适合在资源受限环境中部署实时应用。
原文摘要 · Abstract (English)
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.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品;中文卡片由大模型生成,请以原文为准。