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A New Organization and Indexing Method Of Multibeam Point Cloud Data In 3D Marine GIS

机译:3D海洋GIS中多区域点云数据的新组织和索引方法

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Multibeam sounding system can be used for the acquisition of high-precision digital seabed terrain model, it brings new opportunities for the development of 3D marine GIS (Geographic Information System). But its massive point cloud data poses great challenge for its storage and visualization. This paper proposes a new storage strategy and gives an optimized visualization method specifically for the storage strategy. First, we take advantage of the point cloud coordinate's regularity to sort these points according to certain rules and efficiently organize it through multiple spatial index. Vertically, a multi-level pyramid index is established. We generate a number of levels data with different level of detail and different scale, namely the static level of detail (LOD) model, in this way, a trade-off between appropriate redundant storage space and efficient data retrieve is achieved. Horizontally, for all levels of the pyramid model, we establish a tiled quadtree index, and generate a cache image for each tile. Secondly, an optimized visualization method in accordance with the storage strategy is also designed. Based on the current area of interest and data dispatch algorithm, we calculate the corresponding tile location and directly load the cache image to lessen the workload of complex spatial data operation, reduce the rendering burden of spatial data. We can generate customized dynamic cache with specific area of interest and scale, to improve the visual effect, too.
机译:多芯声探测系统可用于采集高精度数字海底地形模型,为3D船用GIS(地理信息系统)的发展带来了新的机会。但它的巨大点云数据为其存储和可视化带来了巨大的挑战。本文提出了一种新的存储策略,并提供了专门用于存储策略的优化可视化方法。首先,我们利用点云坐标的规律性来根据某些规则对这些点进行排序,并通过多个空间索引有效地组织它。垂直地,建立了多级金字塔指数。我们生成多个具有不同细节水平和不同刻度的级别数据,即静态级别的细节(LOD)模型,以这种方式,实现了适当的冗余存储空间和有效数据检索之间的权衡。水平地,对于金字塔模型的所有级别,我们建立了一个瓷砖Quadtree索引,并为每个瓦片生成缓存图像。其次,还设计了根据存储策略的优化可视化方法。基于当前的感兴趣和数据调度算法,我们计算相应的区块位置并直接加载高速缓冲图像以减少复杂的空间数据操作的工作量,减少空间数据的渲染负担。我们可以使用特定的感兴趣区域和规模生成自定义动态缓存,以提高视觉效果。

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