构建首个中文地图问题检测数据集，助力国土安全与地图合规
CMEdataset Advancing China Map Detection and Standardization with Digital Image Resources
- 聚焦五大典型问题，构建专用地图缺陷数据集
- 涵盖边界错误、缺失要素等关键问题，支持高精度检测
- 适合地图安全、数字中国、地理信息领域研究者使用
数字图像在地图检测中至关重要，尤其关乎国家主权、领土完整与地图合规性。然而当前缺乏公开的专门用于问题地图识别的数据集。现有数据集多关注通用地图数据，难以有效识别复杂的边界错误、要素缺失、边界模糊等问题。为此，本研究构建了一个覆盖五大关键问题领域的‘问题地图’数据集（CME dataset），旨在提供多样化的样本，支持高精度地图合规检测技术的发展，并提升地图数据的质量与时效性。该数据集不仅为地图合规、国家安全监测与地图更新提供基础资源，也推动相关技术的创新与应用。
原文摘要 · Abstract (English)
Digital images of Chinas maps play a crucial role in map detection, particularly in ensuring national sovereignty, territorial integrity, and map compliance. However, there is currently no publicly available dataset specifically dedicated to problematic maps the CME dataset. Existing datasets primarily focus on general map data and are insufficient for effectively identifying complex issues such as national boundary misrepresentations, missing elements, and blurred boundaries. Therefore, this study creates a Problematic Map dataset that covers five key problem areas, aiming to provide diverse samples for problematic map detection technologies, support high-precision map compliance detection, and enhance map data quality and timeliness. This dataset not only provides essential resources for map compliance, national security monitoring, and map updates, but also fosters innovation and application of related technologies.
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。