| 闫东飞,班俊生,任金鑫,刘建军,李娜.基于空间域和高差阈值的山顶点选取方法[J].矿产勘查,2024,15(12):2345-2350 |
| 基于空间域和高差阈值的山顶点选取方法 |
| The surface peaks extraction based on spatial domain andelevation differ-ence threshold |
| 投稿时间：2022-09-29 |
| DOI：10.20008/j.kckc.202412017 |
| 中文关键词: DEM 山顶点 空间域 高差阈值 空间连接 |
| 英文关键词: DEM surface peaks spatial domain elevation difference threshold spatial connection |
| 基金项目: |
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| 摘要点击次数: 258 |
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| 中文摘要: |
| 山顶点是地形的重要特征点，其分布与密度反映了地貌的发育特征，同时也制约着地貌发育，通过提取山顶点，可以更好地理解地形的特征和变化。针对邻域比较法提取山顶点未能直接顾及山体的相对高度，且容易产生山顶点的多提和漏提的问题，提出了一种基于空间域和高差阈值的山顶点选取方法。该方法在邻域比较法的基础上，使用不同邻域设置半径分别提取多组潜在山顶点，以高差阈值为限制条件选取山顶点，并将不同空间域下选取的多组山顶点进行合并，得到符合高差阈值要求的山顶点。利用渑池县 DEM数据进行实验研究，研究结果表明，与传统的邻域分析方法相比，该方法能够尽可能多的选取出符合条件要求的山顶点，方法容易理解，操作简便，可应用于根据不同相对高度提取山顶点和划分山体的工作中。 |
| 英文摘要: |
| The surface peaks are the important feature of the terrain. Distribution and density of the surfacepeaks not only reflect the developmental characteristics of the landform, but also restrict its further development. Byextracting the surface peaks, we can better understand the characteristics and changes of the terrain. The neighbor.hood comparison method fails to directly consider the relative height of the mountain when extracting the surfacepeaks. Moreover, it is prone to issues of over-extraction and under-extraction of the surface peaks. Therefore, thispaper proposes a method for selecting the surface peaks based on spatial domain and elevation difference thresh.olds. This method, based on the neighborhood comparison approach, uses different neighborhood radii to extractmultiple sets of potential the surface peaks. Then, the method selects these the surface peaks with the elevation dif.ference thresholds as the limiting condition. Finally, this method merges multiple sets of the surface peaks selectedfrom different spatial domains, and obtains the surface peaks that meet the elevation difference threshold require.ments. This paper conducts experimental research using DEM data from Mianchi County. The research results indi.cate that this method can select as many the surface peaks as possible that meet the requirements, compared to tra.ditional neighborhood analysis methods. Additionally, this method is easy to understand and operate, making it ap.plicable to tasks such as extracting the surface peaks based on different relative heights and delineating mountainranges. |
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