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作 者:LI QingQuan1,WANG Zhi1,2 & YANG BiSheng1 1 State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,Wuhan 430079,China 2 School of Remote Sensing and Information Engineering,Wuhan University,Wuhan 430079,China
出 处:《Science China(Technological Sciences)》2008年第S1期145-154,共10页中国科学(技术科学英文版)
基 金:the National Basic Research Program of China ("973") (Grant No. 2006CB705500);the National Natural Science Foundation of China (Grant No. 40571134);the National Hi-Tech Research and Development Program of China (Grant Nos. 2007AA12Z241, 2007AA12Z212);Outstanding Scholar of Ministry of Education of China (Grant No. NCET-07-0643)
摘 要:multi-resolution TIN model is an important issue in the contexts of visu-alization,virtual reality (VR),and geographic information systems (GIS). This paper proposes a new method for constructing multi-resolution TIN models with multi-scale topographic features 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. Experimental results demonstrate that the proposed method performs better than previous methods in terms of topographic features preservation,and is able to achieve multi-resolution TIN models with a higher accuracy.multi-resolution TIN model is an important issue in the contexts of visu-alization,virtual reality (VR),and geographic information systems (GIS). This paper proposes a new method for constructing multi-resolution TIN models with multi-scale topographic features 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. Experimental results demonstrate that the proposed method performs better than previous methods in terms of topographic features preservation,and is able to achieve multi-resolution TIN models with a higher accuracy.
关 键 词:digital TERRAIN models level of DETAIL differential-geometry QUADRIC error metrics topographic FEATURE
分 类 号:P208[天文地球—地图制图学与地理信息工程]
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