Using High Resolution Spatial Data to Develop Military Maps of Passability

K. Pokonieczny, Sylwia Borkowska
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引用次数: 3

Abstract

In the article was presented the issue of developing passability maps using high resolution spatial data. To carry out this task, the most detailed maps available in Poland were used: base map in scale 1:500, BDOT10k in scale 1:10 000 and high-resolutionDigital Terrain Elevation Data with spatial resolution 1 m × 1 m. The maps of passability were made using two methods: a standard method based on the division of terrain into three passability classes (GO, SLOW-GO and NO-GO TERRAIN) and the second method of using the Vegetation Roughness Factor. The second method is fully automatic and it makes enable to calculate the index of passability of the primary fields in various sizes. To carry out this task, the square primary fields with size 3, 5, 20, 50, 100 m have been used. Developed maps have been subjected to a comprehensive analysis and comparison. The results show, that the most detailed maps, which were developed for a primary field of size 3 to 10 meters, have visualized the most terrain obstacles. It predisposes them to be used in planning of military operations, crisis management or defining movement of the UGV (Unmanned Ground Vehicles).
利用高分辨率空间数据开发军用通行性地图
本文提出了利用高分辨率空间数据开发通行度图的问题。为了完成这项任务,我们使用了波兰最详细的地图:比例尺为1:500的底图,比例尺为1:10 000的BDOT10k和空间分辨率为1 m × 1 m的高分辨率数字地形高程数据。通过两种方法绘制可通过性图:一种是基于将地形划分为3个可通过性等级(GO、SLOW-GO和NO-GO)的标准方法,另一种是基于植被粗糙度因子的方法。第二种方法是全自动的,它使计算不同大小的主字段的可通过性指数成为可能。为了完成这项任务,我们使用了大小分别为3、5、20、50、100 m的方形原野。已制作的地图经过了全面的分析和比较。结果表明,针对3 - 10米大小的原野开发的最详细的地图可以可视化最多的地形障碍。它使它们易于用于规划军事行动,危机管理或定义UGV(无人地面车辆)的运动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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