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艾廷华的论文在CARTOGRAPHY AND GEOGRAPHIC INFORMATION SCIENCE刊出
发布时间:2015-01-04 17:00:02     发布者:yz     浏览次数:

标题:Detection and correction of inconsistencies between river networks and contour data by spatial constraint knowledge作者:Ai, Tinghua; Yang, Min; Zhang, Xiang; Tian, Jing

来源出版物:CARTOGRAPHY AND GEOGRAPHIC INFORMATION SCIENCE 卷:42 期:1 页:79-93 DOI:10.1080/15230406.2014.956673 出版年:JAN 1 2015

摘要:In the representation of topographic data, the distribution of hydrographic networks should be constrained by the contour model's landform features. During the integration of topographic databases, however, spatial conflicts may destroy these constraints, generating inconsistencies. This study presents a method to detect and correct inconsistencies between river networks and contour data by spatial knowledge. First, structured terrain features are extracted from the contour-based geometric representation and matching relationships between rivers and contours are constructed based on spatial knowledge of the distribution of rivers and talwegs. We then propose a distance metric for measuring differences and identifying inconsistencies between the matched river and contour features. Three correction approaches are provided for different inconsistency situations, including river adjustment referenced to the contour, contour adjustment referenced to the river and adjustment of both river and contour to middle positions. We apply the proposed method to the integration and maintenance of national topographic infrastructure in order to demonstrate its effectiveness.

入藏号:WOS:000346353300008

文献类型:Article

语种:English

作者关键词:data integration, spatial knowledge, spatial data quality, inconsistency correction

扩展关键词:ROAD NETWORKS; MAP CONFLATION; INTEGRATION; RELAXATION; INFORMATION; VGI

通讯作者地址:Yang, Min; Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430072, Peoples R China.

电子邮件地址:250268582@qq.com

地址:

[Ai, Tinghua; Yang, Min; Zhang, Xiang; Tian, Jing]Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430072, Peoples R China.

研究方向:Geography

ISSN:1523-0406

eISSN:1545-0465

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