A Parallel Method for Accelerating Visualization for Vector Tiles
Wei Hu
School of Resources and Environmental Sciences, Wuhan University, China
Lin Li
School of Resources and Environmental Sciences, Wuhan University, China
Geo Spatial Information Science Collaborative Innovation Center of Wuhan University, Wuhan University, China
The Key Laboratory for Geographical Information Systems, Ministry of Education, Wuhan University, China
Chao Wu
School of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, China
Smart Health Big Data Analysis and Location Services Engineering Lab of Jiangsu Province, Nanjing University of Posts and Telecommunications, China
Hang Zhang
School of Resources and Environmental Sciences, Wuhan University, China
Haihong Zhu
School of Resources and Environmental Sciences, Wuhan University, China
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ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2020, 351–359, https://doi.org/10.5194/isprs-annals-V-1-2020-351-2020, https://doi.org/10.5194/isprs-annals-V-1-2020-351-2020, 2020
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Short summary
Short summary
This article proposes an optimized transformation for topographic datasets. The resulting topographic grid exhibits good surface approximation and quasi-uniform high-quality. Both features of the processed topography build a concrete base from which improved endogenous or exogenous parameters can be derived, and makes it suitable for Earth and environmental simulations.