A line-of-sight zoning method for intervisibility computation by considering terrain relief
A line-of-sight zoning method for intervisibility computation by considering terrain relief
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DOI：
10.1080/13658816.2023.2254825
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发表时间：
2023-09
影响因子：
5.7
通讯作者：
Zengjie Wang;Xiaoyu Niu;Zhen-xiao Liu;Wen Luo;Zhaoyuan Yu;Jiyi Zhang;Linwang Yuan
中科院分区：
文献类型：
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作者：
Zengjie Wang;Xiaoyu Niu;Zhen-xiao Liu;Wen Luo;Zhaoyuan Yu;Jiyi Zhang;Linwang Yuan
摘要现有的可见性分析方法由于采样点过多而导致计算效率低下。为了解决这个问题，我们提出了一种新的近似方法，称为视线分区(LOS)，它利用连续的地形起伏来识别视线的潜在遮蔽区(POZ)。通过将采样范围限制在小得多的POZ，采样点的数量显著减少。最佳采样间隔6是通过在计算效率和精度之间取得平衡来确定的。通过在山区和平原地区的实验，无论高度范围和分辨率条件如何，我们都证明了LOS分区方法的高效率，特别是在可见LOS比例较高的场景中。为了考虑地形尖峰可能造成的能见度误差，我们在固定时间间隔下进行了实验，以评估不同方法的计算质量。结果表明，在山区和平原地区，与跳跃策略方法相比，在大多数场景下，检测率提高了4-6倍左右。这一显著的性能改进突出了LOS分区方法的优越性，并在地形回避、军事路径规划和危险目标检测方面显示出巨大的前景。
Abstract Existing intervisibility analysis methods suffer from computational inefficiency due to redundant sampling points. To address this issue, we propose a new approximate method called line-of-sight (LoS) zoning, which leverages continuous terrain relief to identify potentially obscuring zones (POZ) of LoS. By limiting the sampling range to a much smaller POZ, the number of sampling points is significantly reduced. The optimal sampling interval of 6 is determined by striking a balance between computational efficiency and accuracy. Through experiments in both mountainous and plain areas, regardless of the height range and resolution conditions, we demonstrate the high efficiency of the LoS zoning method, especially in scenarios with a high proportion of visible LoS. To account for potential visibility errors caused by sharp peaks in the terrain, we conducted experiments under fixed time intervals to assess the calculation quality of different methods. The results show that in mountainous and plain areas, the improvement in detection rate compared to the hopping strategy method is around 4–6 times in most scenarios. This significant performance enhancement highlights the superiority of the LoS zoning method, and shows great promise in terrain avoidance, path planning in the military, and detection of dangerous targets.