期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2008
卷号：XXXVII Part B6b
页码：1-8
出版社：Copernicus Publications
摘要：Multi-resolution TIN model is a promising solution for achieving rapid visualization speed and interactive frame rates in the contexts of visualization, virtual reality (VR), and geographic information systems (GIS). Most of previous automatic algorithms are not able to identify topographic features, such as peak, pit, ridge, channel and pass, so as to produce poor approximations when a model is simplified to a low level of detail. This paper proposes a new method for constructing multi-resolution TIN models with multi-scale topographic feature preservation. The proposed method is driven by a half-edge collapse operation in a greedy framework and employs a new quadric error metric to efficiently measure geometric errors. We define topographic features in a multi-scale manner using a center-surround operator on Gaussian-weighted mean curvatures. Then we employ an adaptive weight based on topographic features for the control of simplification process. Experimental results identify that proposed method performs better than previous methods in terms of topographic feature preservation, and can achieve multi-resolution TIN models with a higher accuracy
