A regular network of squares is formed by points uniformly distributed (mostly in the square corners) over the surface that is represented by the network. Each point (node) of the network has specified coordinates (X and Y) with a fixed constant distance between them. The third coordinate in a node (H) is determined by the application of interpolation based on the points distributed (usually dispersed as a point cloud e.g., from LiDAR) over the surface of the area surrounding the node. The regular network of squares formed in this manner allows the representation of a digital terrain model (DTM) to be performed in spatial information systems (SIP, GIS). The main problem that arises during the construction of such a network is the proper determination of its resolution (the base distance between the coordinates X and Y) depending on the topography. This article presents a method of the regular network of squares resolution determination depending on the morphological shape of the terrain surface. Following the application of the procedures being described, a differently shaped terrain is assigned various network densities. This enables the minimisation of inaccuracies of the surface model being formed. Consequently, a regular network of squares is formed with different base square sizes, which is adjusted with its resolution to the morphology of the surface it describes. Such operations allow the terrain model accuracy to be maintained over the entire area while reducing the number of points stored in the DTM database to the minimum.

中文翻译：

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将正方形分辨率的规则网络调整为数字地形模型的表面形状

规则的正方形网络由均匀分布在网络所代表的表面上的点（大部分位于正方形角中）形成。网络的每个点（节点）都有指定的坐标（X和Y），它们之间具有固定的恒定距离。节点（H）中的第三坐标是通过插值的应用来确定的，这些插值基于在节点周围区域的表面上分布的点（通常是散布成例如LiDAR的点云）。以这种方式形成的规则正方形网络允许在空间信息系统（SIP，GIS）中执行数字地形模型（DTM）的表示。在构建这样的网络期间出现的主要问题是根据地形正确确定其分辨率（坐标X和Y之间的基本距离）。本文提出了一种根据地形表面的形态确定正方形分辨率的规则网络的方法。在应用所描述的过程之后，为不同形状的地形分配了各种网络密度。这使得形成的表面模型的不准确性最小化。因此，形成具有不同基础正方形尺寸的规则正方形网络，并根据其描述的表面形态对其分辨率进行调整。这样的操作允许在整个区域内保持地形模型的准确性，同时将DTM数据库中存储的点数减少到最少。在应用所描述的过程之后，为不同形状的地形分配了各种网络密度。这使得形成的表面模型的不准确性最小化。因此，形成具有不同基础正方形尺寸的规则正方形网络，并根据其描述的表面形态对其分辨率进行调整。这样的操作允许在整个区域内保持地形模型的准确性，同时将DTM数据库中存储的点数减少到最少。在应用所描述的过程之后，为不同形状的地形分配了各种网络密度。这使得形成的表面模型的不准确性最小化。因此，形成具有不同基础正方形尺寸的规则正方形网络，并根据其描述的表面形态对其分辨率进行调整。这样的操作允许在整个区域内保持地形模型的准确性，同时将DTM数据库中存储的点数减少到最少。根据其描述的表面形态对其分辨率进行调整。这样的操作允许在整个区域内保持地形模型的准确性，同时将DTM数据库中存储的点数减少到最少。根据其描述的表面形态对其分辨率进行调整。这样的操作允许在整个区域内保持地形模型的准确性，同时将DTM数据库中存储的点数减少到最少。