DOI: 10.1016/j.jag.2012.09.008
Scopus记录号: 2-s2.0-84880261970
论文题名: Poisson disk sampling in geodesic metric for DEM simplification
作者: Hou W ; , Zhang Xuming, Li X ; , Lai X ; , Ding M
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2013
卷: 23, 期: 1 起始页码: 264
结束页码: 272
语种: 英语
英文关键词: Adaptive sampling
; DEM simplification
; Geodesic metric
; Poisson disk
Scopus关键词: digital elevation model
; feasibility study
; geodetic datum
; numerical model
; Poisson ratio
; sampling
; terrain
英文摘要: To generate highly compressed digital elevation models (DEMs) with fine details, the method of Poisson disk sampling in geodesic metric is proposed. The main idea is to uniformly pick points from DEM nodes in geodesic metric, resulting in terrain-adaptive samples in Euclidean metric. This method randomly selects point from mesh nodes and then judges whether this point can be accepted in accordance with the related geodesic distances from the sampled points. The whole process is repeated until no more points can be selected. To further adjust the sampling ratios in different areas, weighted geodesic distance, which is in relation to terrain characteristics, are introduced. In addition to adaptability, sample distributions are well visualised. This method is simple and easy to implement. Cases are provided to illustrate the feasibility and superiority of the proposed method. © 2012 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79841
Appears in Collections: 气候变化事实与影响
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作者单位: College of Life Science and Technology, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan 430074, China; School of Remote Sensing and Information Engineering, Wuhan University, 129 Luoyu Road, Wuhan 430072, China
Recommended Citation:
Hou W,, Zhang Xuming, Li X,, Lai X,et al. Poisson disk sampling in geodesic metric for DEM simplification[J]. International Journal of Applied Earth Observation and Geoinformation,2013-01-01,23(1)