测绘通报 ›› 2021, Vol. 0 ›› Issue (6): 122-126.doi: 10.13474/j.cnki.11-2246.2021.0189

• 技术交流 • 上一篇    下一篇

一种基于权重相似性模型的不动产数据整合方法

龙北平, 吴家杰, 郑勤华, 孙立恒, 刘锟铭   

  1. 江西省煤田地质局测绘大队, 江西 南昌 330001
  • 收稿日期:2020-12-25 发布日期:2021-06-28
  • 作者简介:龙北平(1982—),男,硕士,高级工程师,研究方向为不动产测绘、地理信息系统。E-mail:58322032@qq.com
  • 基金资助:
    江西省自然科学基金(20181BAB206018)

A method of the real estate data integration based on weighted similarity model

LONG Beiping, WU Jiajie, ZHENG Qinhua, SUN Liheng, LIU Kunming   

  1. Jiangxi Provincial Coal Geology Bureau of Surveying and Mapping Brigade, Nanchang 330001, China
  • Received:2020-12-25 Published:2021-06-28

摘要: 为完成不动产权籍调查项目成果与不动产登记信息系统的对接,实现权籍调查成果数据的整合,综合考虑数据的海量性、多源性、异构性等特征,本文提出利用欧氏距离和相似度系数建立描述数据样本间近似程度的归一化综合指标即相似离度,根据计算出的相似性测度最大值确定关联目标,从而实现地块的落宗匹配。通过应用试验评价及算法效益分析,本文方法可以在投入人员、完成周期和经费投入方面提高效率,在数据整合领域具有推广意义。

关键词: 不动产数据整合, 权重相似性模型, 权籍调查成果, 欧氏距离, 相似度系数

Abstract: In order to complete the connection between the project results of the real estate register survey and the real estate register information system,to realize the integration of the data of the real estate register survey, comprehensively consider the massive, multi-source and heterogeneous of data, etc., we propose a euclidean distance and similar coefficient and establish a normalized comprehensive index on describing the approximation of data samples—similarity distance. According to the maximum value to determine the correlation target,and achieve land parcel matching. Through the application of experimental evaluation and algorithm benefit analysis,which can improve the efficiency on personnel input, completion cycle and funds, at the same times has a generalized significance in the field of data integration.

Key words: integration of real estate data, weighted similarity model, results of cadastral survey, Euclidean distance, similarity coefficient

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