A Comparison of Ridge Detection Methods for DEM Data

S. Koka, Koichi Anada, Y. Nakayama, K. Sugita, T. Yaku, Ryusuke Yokoyama
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引用次数: 6

Abstract

We deal with ridge detection methods from digital elevation map (DEM) data. As ridge detection methods, the O (N2) -time steepest ascent method and the O (N) -time discrete Lap lace transform (D.L.T.) method are known, where N is the number of cells. However, the D.L.T. method is too blurry to form ridge lines. In this paper, we introduce a 12 neighbor D.L.T. method which is a modification of the 4 neighbor D.L.T. method. And we also introduce another ridge detection method by the classification of local shapes around each cell. We can consider 32 patterns for ridges or valleys. Furthermore, we compare and evaluate their ridge detection methods in a certain area. We note that our two methods provide blurry terrain maps, but it require only O (N) -time for N cells, in comparison with the steepest ascent method.
DEM数据山脊检测方法的比较
我们处理山脊检测方法从数字高程图(DEM)数据。目前已知的脊线检测方法有O (N2)时间最陡上升法和O (N)时间离散Lap lace transform (D.L.T.)方法,其中N为单元数。然而,D.L.T.方法太模糊,无法形成脊线。本文介绍了一种基于4邻域的12邻域离散化方法,它是对4邻域离散化方法的改进。我们还介绍了另一种脊线检测方法,即对每个细胞周围的局部形状进行分类。我们可以考虑32种山脊或山谷的图案。并在某一地区对其脊线检测方法进行了比较和评价。我们注意到,我们的两种方法提供了模糊的地形图,但与最陡上升方法相比,它只需要O (N)时间来处理N个单元。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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