The aim of this study is geomorphometric relief classification of a temperate latitude upland area in Central Europe. The Silesian Upland represents diversified structural relief which contains a fan-shaped configuration of long thresholds and wide erosion depressions. A 20 m × 20 m digital elevation model (DEM) provided input data for the analysis. The k-median method was applied to examine morphometric variables of the relief. The aim of these activities was to identify clusters with objects of similar mathematical characteristics. These clusters were the basis of landform classification. Smaller numbers of clusters 4 transparently show hypsometric relationships. Key elements of the morphology of the area were clearly visible. The division into 6 clusters gives the best results—a detailed but clear image of the morphological diversity by distinguishing characteristic landform elements. The results for 8 clusters show significant background noise and are ambiguous, which makes them difficult to identify. Our research has confirmed that the k-median method is a useful tool for landform classifications. We determined optimal parameters of this method (filtering window size, DEM resolution, number of clusters, aspect influence).

中文翻译：

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波兰南部西里西亚山地的k值中值地貌地貌分类

这项研究的目的是对中欧温带纬度高地地区进行地貌地形地貌分类。西里西亚山地代表着多种多样的结构浮雕，其中包括呈扇形的长门槛和宽大的侵蚀洼地。一个20 m×20 m的数字高程模型（DEM）为分析提供了输入数据。该ķ-中值法被用于检查浮雕的形态计量变量。这些活动的目的是识别具有相似数学特征的对象的群集。这些集群是地貌分类的基础。数量较少的簇4透明地显示了催眠关系。该区域形态的关键要素清晰可见。划分为6个类可提供最佳结果-通过区分特征性地形要素，获得形态多样性的详尽而清晰的图像。8个聚类的结果显示出显着的背景噪声并且模棱两可，这使它们难以识别。我们的研究证实，ķ-中值法是用于地形分类的有用工具。我们确定了该方法的最佳参数（过滤窗口大小，DEM分辨率，簇数，外观影响）。