多源数据协同下的城市建成区边界提取进展

Progress of Extraction of Boundaries in Urban Built-up Areas Based on Multi-source Data Collaboration

建成区边界是评估建成区的一个重要指标,精确提取城市建成区边界可以为城市规划与调控提供参考与支持。遥感数据和空间大数据具有时效性强的特点,被广泛应用于城市建成区边界的提取研究当中。目前,虽然多源数据不断被广泛应用于城市建成区边界提取的研究中,但现有研究缺乏对建成区边界提取成果进行系统的归纳与总结,有关建成区边界提取的综述存在时效性不强、总结不够全面等问题。基于上述问题,本文对国内外近几十年建成区边界提取的研究成果进行梳理,以研究采用的不同数据为主线,从数据处理、技术方法、应用研究及存在的问题等方面进行归纳与总结。

The boundary of built-up area is an important index to evaluate the built-up area.Accurately extracting the boundary of urban built-up area can provide reference and support for urban planning and regulation.Remote sensing data and spatial big data have the characteristics of strong timeliness,and are widely used in the extraction of urban built-up area boundaries.At present,although multi-source data have been widely used in the research of urban built-up area boundary extraction,the existing research is lack of systematic induction and summary of the results of built-up area boundary extraction.At the same time,it is found that there are some problems in the review of boundary extraction of built-up areas,such as weak timeliness and incomplete summary.Based on the above problems,this paper combs the research results of remote sensing data,spatial big data and other multi-source data in the boundary extraction of built-up areas at home and abroad in recent decades,and summarizes the data processing,technical methods,application research and existing problems based on different data used in the research.