基于多源遥感卫星数据融合的城市建成区提取研究

Research on Urban Built-Up Area Extraction Based on Multi-Source Remote Sensing Satellite Data Fusion

以某城市为研究区,结合城市建成区特性,构建了一种利用NPP/VIIRS高分夜间灯光数据提取的城市活跃区与城市不透水区域融合的城市建成区提取方法。结果表明:根据提出的融合算法提取城市建成区,具有较高的精度,能有效揭示城市建成区与区域不透水率、夜光数据活跃度的内在关系,是一种可行的城市建成区提取方法,也能为城市蔓延分析等的进一步研究奠定良好的数据基础。

Taking a certain city as the research area,based on the characteristics of urban built-up area,a method of urban built-up area extraction based on NPP/VIIRS high-light luminous data inversion and urban impermeable area inversion is constructed.The results show:The proposed algorithm for extracting urban built-up areas has high accuracy and can effectively reveal the internal relationship between urban built-up area and regional impermeability rates,as well as luminous data activity.It is a feasible extraction method for urban built-up,and can also lay a good data foundation for further research such as urban sprawl analysis.