Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B2, 459-464, 2016
https://doi.org/10.5194/isprs-archives-XLI-B2-459-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
08 Jun 2016
A VIRTUAL GLOBE-BASED MULTI-RESOLUTION TIN SURFACE MODELING AND VISUALIZETION METHOD
Xianwei Zheng, Hanjiang Xiong, Jianya Gong, and Linwei Yue The State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, P. R. China
Keywords: Virtual Globe, High Accuracy, Surface Modeling, TIN pyramid, Virtual Partition Abstract. The integration and visualization of geospatial data on a virtual globe play an significant role in understanding and analysis of the Earth surface processes. However, the current virtual globes always sacrifice the accuracy to ensure the efficiency for global data processing and visualization, which devalue their functionality for scientific applications. In this article, we propose a high-accuracy multi-resolution TIN pyramid construction and visualization method for virtual globe. Firstly, we introduce the cartographic principles to formulize the level of detail (LOD) generation so that the TIN model in each layer is controlled with a data quality standard. A maximum z-tolerance algorithm is then used to iteratively construct the multi-resolution TIN pyramid. Moreover, the extracted landscape features are incorporated into each-layer TIN, thus preserving the topological structure of terrain surface at different levels. In the proposed framework, a virtual node (VN)-based approach is developed to seamlessly partition and discretize each triangulation layer into tiles, which can be organized and stored with a global quad-tree index. Finally, the real time out-of-core spherical terrain rendering is realized on a virtual globe system VirtualWorld1.0. The experimental results showed that the proposed method can achieve an high-fidelity terrain representation, while produce a high quality underlying data that satisfies the demand for scientific analysis.
Conference paper (PDF, 1047 KB)


Citation: Zheng, X., Xiong, H., Gong, J., and Yue, L.: A VIRTUAL GLOBE-BASED MULTI-RESOLUTION TIN SURFACE MODELING AND VISUALIZETION METHOD, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B2, 459-464, https://doi.org/10.5194/isprs-archives-XLI-B2-459-2016, 2016.

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