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Construction of community life circle database based on high-resolution remote sensing technology and multi-source data fusion
European Journal of Remote Sensing ( IF 4 ) Pub Date : 2020-05-13 , DOI: 10.1080/22797254.2020.1763208
Jin Zuo 1 , Lei Meng 2 , Chen Li 1, 2 , Heng Zhang 2 , Yun Zeng 1 , Jing Dong 1
Affiliation  

ABSTRACT

To provide supporting tools for the community life circle scientific planning and efficient management, the paper takes the urban central area as the research object, and constructs the community life circle database based on multi-source data fusion. High-resolution remote sensing technology and mobile internet complement traditional planning institute data and provide effective ways to obtain multi-source data. When multi-source data describes the same feature, the data content could be repetitive or conflicting, which causes the data to be inaccurate. Multi-source data fusion coordinates repetitive or conflicting data contents, and forms a unified, accurate and useful description on the same feature. The results: (1) Land use, building, supporting facility, and road are important construction elements of community life circle. (2) The planning institute, Baidu place API interface and high-resolution remote sensing technology are the main data acquisition channels. The Baidu POI data is an effective supplement to planning institute facility data. (3) Based on the high-resolution remote sensing images change detection and vector extraction technology, the paper updates planning institute building data. The new information technology has enriched the data sources, the paper contributes to take full advantage of multi-source data and improve the reality, completeness and accuracy of database.



中文翻译:

基于高分辨率遥感技术和多源数据融合的社区生活圈数据库构建

摘要

为为社区生活圈科学规划和高效管理提供支撑工具,本文以城市中心区为研究对象,构建了基于多源数据融合的社区生活圈数据库。高分辨率遥感技术和移动互联网对传统规划院数据进行了补充,为获取多源数据提供了有效途径。当多源数据描述同一特征时,数据内容可能重复或冲突,导致数据不准确。多源数据融合协调重复或冲突的数据内容,对同一特征形成统一、准确、有用的描述。结果:(1)土地利用、建筑、配套设施、道路是社区生活圈的重要建设要素。(2)规划院、百度场所API接口和高分辨率遥感技术是主要的数据采集渠道。百度POI数据是规划院设施数据的有效补充。(3) 基于高分辨率遥感影像变化检测和矢量提取技术,更新规划院建筑数据。新的信息技术丰富了数据来源,有助于充分利用多源数据,提高数据库的真实性、完整性和准确性。(3) 基于高分辨率遥感影像变化检测和矢量提取技术,更新规划院建筑数据。新的信息技术丰富了数据来源,有助于充分利用多源数据,提高数据库的真实性、完整性和准确性。(3) 基于高分辨率遥感影像变化检测和矢量提取技术,更新规划院建筑数据。新的信息技术丰富了数据来源,有助于充分利用多源数据,提高数据库的真实性、完整性和准确性。

更新日期:2020-05-13
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