标题：A scale-adaptive DEM for multi-scale terrain analysis
作者：Chen, Yumin; Zhou, Qiming
来源出版物：INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE 卷：27 期：7 特刊：SI DOI：10.1080/13658816.2012.739690 出版年：JUL 1 2013
作者关键词：DEM/DTM; scale; multi-resolution; generalization; triangulation
扩展关键词：DIGITAL ELEVATION MODELS; TRIANGULATED IRREGULAR NETWORKS; GRID SIZE; LANDSCAPE; RESOLUTION; SLOPE; REPRESENTATION; MICROSCALE
摘要：A scale-adaptive digital elevation model (S-DEM) method is proposed for multi-scale terrain analysis using a single high-resolution digital elevation model (DEM) database. The motivation is to construct a DEM that is self-adaptive to a given scale of an application, rather than letting the application fit into the built-in scale of the DEM. The method is based on an adaptive compound point extraction (CPE) algorithm that extracts surface significant points' from a high-resolution DEM according to their degree of importance (DOI) to the scale of an application. A data structure can be established to match the demand from an application at a coarser scale. Based on the data structure, a triangulated irregular network (TIN) model can be generated to support the terrain analysis at the desired scale. The aim of the S-DEM is to support multi-scale applications in three aspects, namely, one database for all scales and scale-adaptive' (i.e. matching any application scale using a single high-resolution DEM), consistent measurement' (i.e. delivering more constant measurements of terrain parameters with changing scales), and skeleton preservation' (i.e. preserving basic streamlines with changing scales). Compared with the raster resampling algorithm and the maximum z-tolerance algorithm, we find that the proposed method offers better performance, providing values that meet the accuracy requirements set by DEM data standards for different scales, and producing analytical derivatives that retain terrain features with consistent measurements of terrain parameters.
通讯作者：Zhou, Qiming;Hong Kong Baptist Univ, Dept Geog, Hong Kong, Hong Kong, Peoples R China.
[Chen, Yumin]Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430072, Peoples R China;
Wuhan Univ, Int Collaborat Ctr Geocomputat Studies, Wuhan 430072, Peoples R China
[Zhou, Qiming]Hong Kong Baptist Univ, Dept Geog, Hong Kong, Hong Kong, Peoples R China;
Hong Kong Baptist Univ, Ctr Geocomputat Studies, Hong Kong, Hong Kong, Peoples R China;
State Bur Surveying & Mapping, Key Lab Digital Mapping & Land Informat Applicat, Wuhan, Peoples R China
研究方向：Computer Science; Geography; Physical Geography; Information Science & Library Science
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