融合多源地理信息数据的城市地块功能精细化识别研究
Research on Refined Recognition of Urban Land Functions by Integrating Multi-source Geographic Information Data
张欣杰 1许振北 1仇雅倩 1李延军1
作者信息
- 1. 大连测绘大队,辽宁 大连 116023
- 折叠
摘要
为实现城市功能区精细化识别,以OSM、POI、卫星遥感影像、在线高德地图、规划专题图等多源地理信息数据为基础,建立"空间—影响力"权重分析模型,通过POI权重分数识别地块单元功能类型,从而实现城市功能区精细化识别.青岛市核心城区实验结果表明,该方法能够较为准确地实现城市地块功能精细化识别,可为城市格局优化、公共资源配置提供数据支撑.
Abstract
In order to realize the refined recognition of urban functional areas,a"space-influence"weight analysis model is estab-lished based on multi-source geographic information data such as OSM,POI,satellite remote sensing images,online Gaode map(Amap),and planning thematic maps.The functional types of plot units are recognized through POI weight scores,so as to achieve the refined recognition of urban functional areas.The experimental results on the core urban areas of Qingdao show that this method can accurately realize the refined recognition of urban land parcel functions,which can provide data support for urban pattern optimiza-tion and public resource allocation.
关键词
多源地理信息数据/POI/OSM路网/城市功能区Key words
multi-source geographic information data/POI/OSM road network/urban functional areas引用本文复制引用
出版年
2024
NETL
NSTL
万方数据