高分城市精细化管理城市建成区乱搭乱建监测数据集

高分城市精细化管理城市建成区乱搭乱建监测数据集，是利用GF-7卫星和其它高分影像数据及城市建设审批规划矢量数据等，基于现有较先进的深度学习模型结合GIS空间分析技术及人工辅助判别检测建筑物违法新建、加盖、改扩建行为，破解当前城市乱搭乱建监测方法存在的技术难题，最终生成城市建成区乱搭乱建监测专题产品，对合理进行城市规划、优化配置城市土地资源、细化城市建筑信息具有十分重要的意义。
高分城市精细化管理城市建成区乱搭乱建监测数据集，是助力城市健康发展和精细化管理的基本手段，对于我国高分辨率卫星遥感数据在行业中的示范应用具有重要促进作用。城市建成区乱搭乱建监测数据集，对于构建一套科学、完善高分遥感数据的城市管理监督工作机制，制定用于城市管理监督的城市建成区乱搭乱建监测专题产品的生产流程具有实践意义。数据集可助力实现城市管理空间的逐级细分、管理对象的精确定位、管理责任的明确落实的城市精细化管理目标，可为我国的城市精细化管理监督、城市建成区乱搭乱建监测提供数基础据与技术支撑。

This Gaofen-based dataset for illegal construction monitoring in urban built-up areas for refined urban management is developed using GF-7 satellite and other Gaofen remote sensing imagery, vector data of urban construction approval and planning, and other relevant data. It leverages state-of-the-art deep learning models combined with GIS spatial analysis technologies and manual auxiliary discrimination to detect illegal new construction, roof addition, expansion and renovation of buildings, addressing the technical bottlenecks in current urban illegal construction monitoring methods. Ultimately, it generates thematic products for illegal construction monitoring in urban built-up areas, which is of great significance for rational urban planning, optimal allocation of urban land resources and refinement of urban building information.

This dataset serves as a fundamental means to support the healthy development and refined management of cities, and plays an important role in promoting the demonstrative application of China's high-resolution satellite remote sensing data across relevant industries.

This dataset for illegal construction monitoring in urban built-up areas also has practical significance for establishing a scientific and complete urban management and supervision mechanism based on Gaofen remote sensing data, and formulating production processes for thematic products of illegal construction monitoring in urban built-up areas for urban management and supervision.

The dataset can help achieve the goals of refined urban management, including step-by-step subdivision of urban management spaces, precise positioning of management objects and clear implementation of management responsibilities, and provide data basis and technical support for China's urban refined management supervision and illegal construction monitoring in urban built-up areas.