位置:成果数据库 > 期刊 > 期刊详情页
地貌认知及空间剖分的山顶点提取
  • 期刊名称:测绘科学
  • 时间:2010.9.9
  • 页码:126-127
  • 分类:P231.5[天文地球—摄影测量与遥感;天文地球—测绘科学与技术]
  • 作者机构:[1]西华师范大学国土资源学院,四川南充637002, [2]南京师范大学虚拟地理环境教育部重点实验室,南京210046
  • 相关基金:西华师范大学博士科研启动基金资助(08B069); 国家自然科学基金(40930531)
  • 相关项目:基于DEM的黄土高原地貌形态空间格局研究
中文摘要:

本文通过对山顶局部形态特征及空间定量特征的分析,结合传统地貌学认知思路,给出了基于空间剖分的山顶点快速提取方法。空间剖分标准对应于地貌学山地分类,通过高差限制剖分实现DEM分块,并在此基础上拟合函数,给出符合地貌认知的山顶点。实验结果表明,该方法操作简便、结果相对准确可靠,提取的山顶点符合传统地貌认知,可以给出不同高差阈值的山顶信息。

英文摘要:

Mountain peaks can be depicted by local morphological characteristics and quantitative parameters in three dimensions space.In this paper,a novel space segmentation method of mountain peaks extraction was proposed based on traditional geomorphology cognition.The key point was to find a reasonable geography space segmentation standard,which was corresponded to mountain classification criterions in geomorphologic field.After height-constraint geography space segmentation based on DEM,a regression function could be obtained,which depicted the relationship between height difference and spatial pattern of mountain peaks.Then mountain peaks could be extracted according to adaptive height-constraint geography space sub-division,with relatively high efficiency and acceptability.

同期刊论文项目
期刊论文 76 会议论文 6 专利 2
同项目期刊论文