测绘通报 ›› 2017, Vol. 0 ›› Issue (10): 29-33,38.doi: 10.13474/j.cnki.11-2246.2017.0311

• 学术研究 • 上一篇    下一篇

新一轮土地更新调查复合要素空间差异判别技术

吴瀚1, 曾珏2, 徐世武1   

  1. 1. 中国地质大学(武汉), 湖北 武汉 430074;
    2. 中国土地勘测规划院, 北京 100035
  • 收稿日期:2017-06-19 修回日期:2017-09-11 出版日期:2017-10-25 发布日期:2017-11-07
  • 通讯作者: 曾珏。E-mail:598722949@qq.com E-mail:598722949@qq.com
  • 作者简介:吴瀚(1993-),男,硕士生,主要从事遥感、GIS、国土信息化应用研究。E-mail:729499581@qq.com
  • 基金资助:
    土地调查数据自动匹配与变化发现技术研究项目(2017171109199)

Spatial Difference Discrimination Technology of Composite Elements in Landuse Update Survey

WU Han1, ZENG Jue2, XU Shiwu1   

  1. 1. China University of Geosciences, Wuhan 430074, China;
    2. Chinese Land Surveying and Planning Institute, Beijing 100035, China
  • Received:2017-06-19 Revised:2017-09-11 Online:2017-10-25 Published:2017-11-07

摘要: 新一轮土地利用现状更新调查不仅大幅提升了数据的精度要求,将调查比例尺提高到1∶2000,而且强化了数据的更新检查机制,对过程有具体严格的要求。本文研究土地更新调查复合要素空间匹配与差异判别技术,提出了一种基于缓冲区膨胀的多尺度矢量空间数据匹配方法:一方面空间特征继承大比例尺地形地籍数据的高精度,属性特征集成多尺度的利用和权属现势信息,实现尺度间同名地物的有效融合;另一方面实现国家下发变化图斑与更新后土地利用调查现势图斑的计算机差异比较,确保更新过程严格、规范、自动化程度高。

关键词: 土地调查, 空间匹配, 缓冲区膨胀, 差异判别

Abstract: The precision requirement of landuse updating survey has been greatly enhanced,the scale of survey was also raised to 1:2000 now,it also reinforces the mechanism of checking and updating data,and the process has a specific stringent requirements.This paper studies the technology of spatial matching and discriminant analysis of complex elements in land renewal investigation,a multi-scale vector space data matching method based on buffer expansion is proposed.On the one hand,spatial features inherit the high precision of large-scale topographic cadastral data,the use of attribute feature integration multi-scale and the ownership of current information,to achieve effective integration between the same objects on the scale.On the other hand,comparison of computer differences between variable map spot issued by the state and current map spot in updated land use investigation,ensure that the update process is strict,standardized and highly automated.

Key words: land investigation, spatial matching, buffer expansion, difference discrimination

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