Abstract
Visual analysis is to effectively integrate geographic information data and guide users to comprehensively and carefully analyze the multi-dimensional, spatio-temporal, dynamic, correlation and other characteristics with the help of interactive technology. Firstly, from the perspective of multi-scene transformation, a smooth transformation method based on transparency rendering is proposed, which can eliminate the visual impact caused by scene transformation. Secondly, for the organization and rendering algorithm of geospatial data, the design process of multi-threaded data access, fusion and rendering is proposed. Using a multi-channel data-fusion strategy based on Quadtree, the imagery and vector data corresponding to the node location of the Quadtree are quickly fused to form a new logical data-tile. Through multi-threaded data transmission technology and combined with texture sharing mechanism in OpenGL, the fused data-tile is transmitted to the GPU for rendering. With the help of GPU parallel-computing ability, the rendering efficiency of multi-scene roaming is effectively improved. Compared with the traditional mode of independent rendering of each channel data, this design process has obvious advantages in terms of visual observation.
Supported by Aerospace Information Research Institute, CAS.
Y. Li and K. Fu—Contribute equally to this work.
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Li, Y. et al. (2022). Fusion and Visualization in GIS Multi-scenario Transformation Mode. In: Luo, Y. (eds) Cooperative Design, Visualization, and Engineering. CDVE 2022. Lecture Notes in Computer Science, vol 13492. Springer, Cham. https://doi.org/10.1007/978-3-031-16538-2_6
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DOI: https://doi.org/10.1007/978-3-031-16538-2_6
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