太阳成8722(中国)有限公司-GREEN NO.1

标题：Data matching of building polygons at multiple map scales improved by contextual information and relaxation作者：Zhang, Xiang; Ai, Tinghua; Stoter, Jantien; Zhao, Xi

来源出版物：ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING 卷：92 页：147-163 DOI：10.1016/j.isprsjprs.2014.03.010 出版年：JUN 2014

摘要：The aim of matching spatial data at different map scales is to find corresponding objects at different levels of detail (LODs) that represent the same real-world phenomena. This is a prerequisite for integrating, evaluating and updating spatial data collected and maintained at various scales. However, matching spatial data is not straightforward due to the ambiguities caused by problems like many-to-many correspondence, non-systematic displacement and different LODs between data sets. This paper proposes an approach to matching areal objects (e.g. buildings) based on relaxation labeling techniques widely applied in pattern recognition and computer vision. The underlying idea is to utilize contextual information (quantified by compatibility coefficient) in an iterative process, where the ambiguities are reduced until a consistent matching is achieved. This paper describes (I) a domain-specific extension to previous relaxation schemes and (2) a new compatibility coefficient that exploits relative relationships between areal object pairs in spatial data. Our approach were validated through extensive experiments using building data sets at 1:10k and 1:50k as an example. Our contextual approach showed superior performance against a non-contextual approach in general and especially in ambiguous situations. The proposed approach can also be applied to matching other areal features and/or for a different scale range.

入藏号：WOS:000337865800011

文献类型：Article

语种：English

作者关键词：Data matching, Multi-scale databases, Contextual information, Relaxation labeling, Cartographic generalization

扩展关键词：PROBABILISTIC RELAXATION; LABELING PROCESSES; TOPOGRAPHIC DATA; CONFLATION; SIMILARITY; NETWORKS

通讯作者地址：Zhang, Xiang; Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

电子邮件地址：xiang.zhang@whu.edu.cn; tinghuaai@gmail.com; j.e.stoter@tudelft.nl; xi.zhao@whu.edu.cn

地址：

[Zhang, Xiang; Ai, Tinghua] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

[Stoter, Jantien] Delft Univ Technol, GIS Technol, OTB, Delft, Netherlands.

[Zhao, Xi] Wuhan Univ, Chinese Antarctic Ctr Surveying & Mapping, Wuhan 430079, Peoples R China.

研究方向：Physical Geography; Geology; Remote Sensing; Imaging Science & Photographic Technology

ISSN：0924-2716