Abstract
The paper presents a new method of digital terrain model (DTM) estimation based on modified moving average interpolation. There are many methods that can be employed in DTM creation, such as kriging, inverse distance weighting, nearest neighbour and moving average. The moving average method is not as precise as the others; hence, it is not commonly comprised in scientific work. Considering the high accuracy, the relatively low time costs, and the huge amount of measurement data collected by multibeam echosounder, however, the moving average method is definitely one of the most promising approaches. In this study, several variants of this method are analysed. An optimization of the moving average method is proposed based on a new module of selecting neighbouring points during the interpolation process—the “growing radius” approach. Tests experiments performed on various multibeam echosounder datasets demonstrate the high potential of this modified moving average method for improved DTM generation.
Highlights
One of the most important and at the same time most difficult tasks undertaken in the complex process of constructing spatial information systems is the creation of a digital terrain model (DTM), which is the basic information layer used by systems describing phenomena at high-definition levels and provides them with the basis of spatial organisation (Arctur and Zeiler 2004)
The DTM is usually made on the basis of a GRID structure
There are numerous methods of determining GRID based on measurement data, the ones most frequently applied being kriging, minimum curvature, nearest neighbour, natural neighbour, modified Shepard’s method, radial basis function, polynomial regression, inverse distance to a power, triangulation with linear interpolation, moving average, and methods based on artificial intelligence (e.g. Hamilton 1980; Stateczny 2000; Lubczonek and Stateczny 2003; Yang et al 2004; Gosciewski 2014)
Summary
One of the most important and at the same time most difficult tasks undertaken in the complex process of constructing spatial information systems is the creation of a digital terrain model (DTM), which is the basic information layer used by systems describing phenomena at high-definition levels and provides them with the basis of spatial organisation (Arctur and Zeiler 2004). The first stage of research comprised searching for an optimal method of establishing the number of measurement points utilized in the moving average interpolation process.
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