地貌认知及空间剖分的山顶点提取

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。

Mountain peaks extraction based on geomorphology cognitive and space segmentation

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.