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A fuzzy approach to visibility maps creation over digital terrains

机译:在数字地形上创建可见性地图的模糊方法

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The construction of inter-visibility models for a terrain is an important tool for environmental and animal studies. Efficient crisp algorithms are known to address this problem directly on a raster digital elevation map (DEM) of the study area. Randomness plays an important role: several factors like vegetation, height of the observer, presence of unmapped human artifacts, etc. cannot be modeled in advance into a traditional DEM model. We propose the use of fuzzy terrain models to incorporate uncertainty and unpredictable variability of the landscape. Accordingly, we propose a suitable definition of visibility to obtain inter-visibility models. An algorithm that uses approximation of fuzzy numbers with a discrete family of intervals is proposed. The proposed model produces sound results and can be extended to model complex situations like triangulating a radio source using two directional receivers. All of these situations are difficult to manage with a precise stochastic model and are a frequent occurrence in animal behavior studies under field conditions. The proposed techniques have been implemented inside a user-friendly software package that may easily exchange data with the most common GISs. We report also some experimental results obtained using over artificial terrain under controlled noise and under-sampling conditions.
机译:地形间可见性模型的构建是环境和动物研究的重要工具。已知有效的清晰算法可以直接在研究区域的栅格数字高程图(DEM)上解决此问题。随机性起着重要的作用:诸如植被,观察者的身高,未映射的人类伪像的存在等若干因素无法预先建模为传统的DEM模型。我们建议使用模糊地形模型来合并景观的不确定性和不可预测的可变性。因此,我们提出了合适的可见性定义,以获取相互可见性模型。提出了一种使用模糊数与离散区间族的近似算法。所提出的模型产生良好的结果,并且可以扩展为对复杂的情况进行建模,例如使用两个定向接收机对无线电源进行三角测量。所有这些情况都很难用精确的随机模型来处理,并且在野外条件下的动物行为研究中经常发生。所提出的技术已在易于使用的软件包中实现,该软件包可轻松与最常见的GIS交换数据。我们还报告了在受控噪声和欠采样条件下在人工地形上使用获得的一些实验结果。

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