地图学与地理信息

引入二维交细分类型的地表覆盖矢量数据增量更新

  • 周晓光 ,
  • 汪红松 ,
  • 吴志强
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  • 中南大学地球科学与信息物理学院, 湖南 长沙 410083
周晓光(1969-),女,教授,研究方向为空间数据更新与众源数据处理。E-mail:zxgcsu@foxmail.com

收稿日期: 2015-03-03

  修回日期: 2016-10-04

  网络出版日期: 2017-02-06

基金资助

国家自然科学基金(41371366);十三五国家重点研发计划(2016YFB0501403)

An Incremental Updating Method for Land Cover Database Using Refined 2-dimensional Intersection Type

  • ZHOU Xiaoguang ,
  • WANG Hongsong ,
  • WU Zhiqiang
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  • School of Geosciences and Info-Physics, Central South University, Changsha 410083, China

Received date: 2015-03-03

  Revised date: 2016-10-04

  Online published: 2017-02-06

Supported by

The National Natural Science Foundation of China (No.41371366);The 13th Five-Year State Key Development Program (No.2016YFB0501403)

摘要

通过遥感影像与基准年数据对比获得变化信息是目前地表覆盖数据增量更新的主要变化数据来源,但现有方法不能直接更新地表覆盖矢量数据。本文设计了一种包含变化对象的空间位置和类型信息的地表覆盖增量数据模型,发展了一种引入面/面二维交细分类型的地表覆盖矢量数据增量更新方法。该方法首先采用基于目标整体交、差结果的欧拉数的E-WID层次拓扑关系模型区,分析了地表覆盖矢量数据更新中的14种二维交细分拓扑关系类型;然后根据这些二维交细分类型,设计了9条自动更新处理规则。最后开发了一套基于根据二维交细分类型处理规则的地表覆盖数据增量更新原型系统,并用实际数据验证了其正确性。

本文引用格式

周晓光 , 汪红松 , 吴志强 . 引入二维交细分类型的地表覆盖矢量数据增量更新[J]. 测绘学报, 2017 , 46(1) : 114 -122 . DOI: 10.11947/j.AGCS.2017.20150114

Abstract

In order to incremental updating the land cover database using the change-only information from imagery change detection methods, an vector change-only information model is designed to represent the spatial and attribute information after change, and an automatic incremental updating method for land cover database based on refined 2-dimensional intersection type is presented. As the differentiation and identification of 2-dimensional intersection type between new updates and existing objects is one of the first steps in the automatic incremental updating process for a land cover database, the 14 refined 2-dimensional intersection types are distinguished by the E-WID topological hierarchical model. Then according to the 14 refined 2-dimensional intersection types, 9 automatic updating rules for land cover database are presented. An automatic incremental updating for land cover database prototype system is developed. The effectiveness of the models and rules was verified using real data. The results of this study represent a new avenue for automatic spatial data handling in incremental updating processes.

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