As a GIS tool, visibility analysis is used in many areas to evaluate both visible and non-visible places. Visibility analysis builds on a digital surface model describing the terrain morphology, including the position and shapes of all objects that can sometimes act as visibility barriers. However, some barriers, for example vegetation, may be permeable to a certain degree. Despite extensive research and use of visibility analysis in different areas, standard GIS tools do not take permeability into account. This article presents a new method to calculate visibility through partly permeable obstacles. The method is based on a quasi-Monte Carlo simulation with 100 iterations of visibility calculation. Each iteration result represents 1% of vegetation permeability, which can thus range from 1% to 100% visibility behind vegetation obstacles. The main advantage of the method is greater accuracy of visibility results and easy implementation on any GIS software. The incorporation of the proposed method in GIS software would facilitate work in many fields, such as architecture, archaeology, radio communication, and the military.

作为GIS工具，可见性分析在许多领域中用于评估可见和不可见的地方。可见性分析建立在描述地形形态的数字表面模型的基础上，包括有时会充当可见性障碍的所有对象的位置和形状。但是，某些屏障（例如植被）可能在一定程度上是可渗透的。尽管在不同领域进行了广泛的研究并使用了可见性分析，但是标准GIS工具并未考虑渗透性。本文提出了一种通过部分可渗透障碍物计算能见度的新方法。该方法基于具有100次可见性计算迭代的准蒙特卡洛模拟。每个迭代结果代表1％的植被渗透率，因此在植被障碍物后面的可见性范围为1％到100％。该方法的主要优点是可见性结果的准确性更高，并且可以在任何GIS软件上轻松实现。将所提出的方法并入GIS软件将有助于许多领域的工作，例如建筑，考古，无线电通信和军事。