Abstract
Vector data contains a lot of important features. Progressive transmission is a key technology to solve the real-time rendering and network transmission of vector data. By studying the traditional progressive transmission method of vector data and considering the spatial position and geometric features of vector data, we proposed an efficient progressive transmission method. We divided the vector data into blocks based on spatial location, then applied a Visvalingam-Whyatt algorithm to build a multi-scale model. Finally the progressive transmission of vector data was achieved. Our method satisfies the viewer’s needs to display data from different rendering scale and has important significance for client users to interact in real time.
The Project Supported by the Open Fund of Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Land and Resources (Grant No. KF-2016-02-032, and Grant No. KF-2016-02-036); Science Research Program of Land and Resources Department of Sichuan Province (Grant No. KJ201613 and Grant No. KJ20159); Open Fund of State Key Laboratory of Water Resources and Hydropower Engineering Science (Grant No. 2014SWG04); The Key Technologies Research and Development Program of Hubei Province (Grant No. 2015BCA290); Open Fund of Key Laboratory of Geoscience Spatial Information Technology, Ministry of Land and Resource of the P.R. China (Grant No. KLGSIT201411); Opening Foundation of Guangxi Key Laboratory for Spatial Information and Geomatics, Guangxi, China (Grant No. 140452413, and Grant No. GKN120711516); State Key Laboratory of Remote Sensing Science (Grant No. OFSLRSS 201318); and 2015 Hongkong and Mainland College Students Exchange Program (Grant No. 2014547).
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Wang, S. et al. (2017). Progressive Network Transmission Method Research of Vector Data. In: Yuan, H., Geng, J., Bian, F. (eds) Geo-Spatial Knowledge and Intelligence. GRMSE 2016. Communications in Computer and Information Science, vol 699. Springer, Singapore. https://doi.org/10.1007/978-981-10-3969-0_4
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DOI: https://doi.org/10.1007/978-981-10-3969-0_4
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