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Triangulated irregular network (TIN) representation quality as a function of source data resolution and polygon budget constraints

机译:三角不规则网络(TIN)表示质量与源数据分辨率和多边形预算约束的关系

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Abstract: High resolution digital elevation models (DEM) are becoming increasingly available for use as source data during the process of creating synthetic environments to support simulation systems. Several data sets that provide elevation points corresponding to 1 meter intervals on the earth surface are now available. However, multiple transformations must often be applied to the raw source data before it is suitable for use by any simulation system. These transformations have an impact on the fidelity of the final (simulation) synthetic environment that is difficult to quantify. Further, intuition alone now supports any claim that higher resolution source data necessarily results in generation of higher fidelity simulation data as a product of the transformation process. This paper documents an attempt to measure fidelity differences in final simulation synthetic environments that can be directly attributed to the resolution of the source data. Specifically, several lower resolution DEM are generated from a single high resolution (1 meter horizontal spacing) source DEM and all are used as source data for TIN construction. Automated planning software is applied to each and used as a metric to measure TIN quality. !6
机译:摘要:在创建综合环境以支持仿真系统的过程中,高分辨率数字高程模型(DEM)越来越可用作源数据。现在有几个提供对应于地面上1米间隔的高程点的数据集。但是,在原始数据适合任何模拟系统使用之前,通常必须对其进行多次转换。这些转换对最终(模拟)合成环境的保真度产生影响,而这种保真度很难量化。此外,仅凭直觉现在就支持任何主张,即高分辨率源数据必然导致生成更高保真度的模拟数据,这是转换过程的产物。本文记录了一种尝试在最终模拟合成环境中测量保真度差异的尝试,这些差异可直接归因于源数据的分辨率。具体而言,从单个高分辨率(水平间距1米)源DEM生成了几个较低分辨率的DEM,并且所有这些都用作TIN构造的源数据。自动化计划软件应用于每种工具,并用作衡量TIN质量的指标。 !6

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