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A method for computation of surface roughness of digital elevation model terrains via multiscale analysis

机译:基于多尺度分析的数字高程模型地形表面粗糙度计算方法

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摘要

In this paper, an algorithm to compute surface roughness of digital elevation model (DEM) terrains via multiscale analysis is proposed. The algorithm employs the lifting scheme to generate multiscale DEMs. At each scale, the areas of pixels that are modified are computed. Granulometric analysis is employed to compute the average area of curvature regions in the terrain, and the average roughness of the terrain due the distribution of curvature regions. The selected case studies of the algorithm implementation demonstrated that the proposed algorithm provides a surface roughness parameter that is realistic with respect to the amplitudes and frequencies of the terrain, invariant with respect to rotation and translation, and has intuitive meaning. The algorithm allows for a good quantification of a region's convexity/concavity over varying scales, distinguishing between shallow and deep incisions of valleys and ridges of the terrain, and hence, provides an accurate surface roughness parameter.
机译:提出了一种通过多尺度分析计算数字高程模型(DEM)地形表面粗糙度的算法。该算法采用提升方案来生成多尺度DEM。在每个比例下,都会计算修改后的像素面积。使用粒度分析来计算地形中曲率区域的平均面积,以及由于曲率区域的分布而引起的地形的平均粗糙度。所选算法实现的案例研究表明,所提出的算法提供的表面粗糙度参数相对于地形的振幅和频率是现实的,相对于旋转和平移是不变的,并且具有直观的含义。该算法可以在不同尺度上很好地量化区域的凸度/凹度,区分地形的山谷和山脊的浅和深切口,从而提供准确的表面粗糙度参数。

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