测绘通报 ›› 2020, Vol. 0 ›› Issue (11): 128-131.doi: 10.13474/j.cnki.11-2246.2020.0370

• 技术交流 • 上一篇    下一篇

土地调查线状地物与图斑逻辑一致性缺陷修正方法

张嘉1, 白晓飞1, 汪秀莲1, 季宏伟1, 杨宜舟2   

  1. 1. 中国国土勘测规划院, 北京 100035;
    2. 北京吉威数源信息技术有限公司, 北京 100043
  • 收稿日期:2020-06-26 出版日期:2020-11-25 发布日期:2020-11-30
  • 作者简介:张嘉(1984-),男,硕士,高级工程师,主要从事国土调查、国土资源信息化工作。E-mail:sagehn2003@163.com
  • 基金资助:
    自然资源部部委计划(1902-033-14)

A method to correct the logical consistency defect between linear features and land use patch in land survey

ZHANG Jia1, BAI Xiaofei1, WANG Xiulian1, JI Hongwei1, YANG Yizhou2   

  1. 1. China Land Survey and Planning Institute, Beijing 100035, China;
    2. Beijing GEOWAY Information Technology Inc., Beijing 100043, China
  • Received:2020-06-26 Online:2020-11-25 Published:2020-11-30

摘要: 土地调查数据中部分线状地物与图斑存在逻辑一致性缺陷,造成图斑地类面积计算错误。为解决上述问题,本文对土地调查数据线/面逻辑关系进行研究,归纳了线状地物跨越图斑的缺陷类型;并对其成因和影响进行分析,设计了一种通过增量更新进行缺陷修正的方法。该方法不影响地类流量分析,能够较好地维护年度间统计结果的一致性,易于实现缺陷修正的自动化处理,并利于数据回溯。通过土地变更调查国家级数据库质量检查工作实践表明,本文提出的方法有助于提升数据检查的效率,具有较好的实用价值。

关键词: 线状地物, 图斑, 土地调查, 增量更新, 地类流量

Abstract: A logical consistency defect between some linear features and patches of land survey data leads to the calculation error of land use patches. To solve the problems, this paper studies the logical relationship between lines and polygons of land survey data, summarizes the defect types of linear features crossing the patches, analyzes its causes and effects, and designs a method to correct the defect by incremental update mechanism. This method does not affect the analysis of land type flow. It can maintain the consistency of statistical results between standard time point of land survey. It is easy to realize the automatic processing of defect correction. And it facilitates data backtracking. The method is applied and verified in the national database quality inspection of land survey. It shows that it is helpful to improve the efficiency of data inspection and has a practical value.

Key words: linear features, land use patch, land surveying, incremental update, land type flow

中图分类号: