南京林业大学学报(自然科学版) ›› 2014, Vol. 38 ›› Issue (01): 140-144.doi: 10.3969/j.issn.1000-2006.2014.01.025

• 研究论文 • 上一篇    下一篇

栅格DEM中隔断线约束算法应用评价

胡 刚1,2, 宋 慧1, 张明礼3   

  1. 1.青岛大学师范学院,山东 青岛 266071;
    2.中国科学院陆地水循环及地表过程重点实验室,北京 100101;
    3.南京师范大学地理科学学院,江苏 南京 210046
  • 出版日期:2014-01-15 发布日期:2014-01-15
  • 基金资助:
    收稿日期:2012-10-11 修回日期:2013-02-28
    基金项目:国家自然科学基金面上项目(41173094); 中国科学院陆地水循环及地表过程重点实验室基金项目(WL2013002); 中国博士后科学基金项目(20070410482)
    第一作者:胡刚,博士。E-mail: geo_hug@126.com。
    引文格式:胡刚, 宋慧, 张明礼. 栅格DEM中隔断线约束算法应用评价[J]. 南京林业大学学报:自然科学版,2014,38(1):140-144.

Application evaluation of the bounding algorithm for breakline in grid DEM

HU Gang1,2,SONG Hui1, ZHANG Mingli3   

  1. 1. Normal College, Qingdao University, Qingdao 266071, China;
    2. Key Laboratory of Water Cycle & Related Land Surface Processes, CAS, Beijing 100101, China;
    3. School of Geography Science, Nanjing Normal University, Nanjing 210046, China
  • Online:2014-01-15 Published:2014-01-15

摘要: 基于高精度差分GPS测量数据,在详细分析规则格网数字高程模型(DEM)构建过程中隔断线算法过程基础上,构建带约束算法的大比例尺沟道侵蚀形态的规则格网DEM,并将其与非带约束条件的规则格网DEM和实测值进行了对比。研究发现:带约束条件下的规则格网DEM能够很好地与实际形态相符合,并优于依据同样点所构建不规则三角网(TIN)转换而来的同等分辨率的规则格网DEM,而且研究发现随着格网间距的减小,插值结果与实测值间的RMSE也随之减小,规则格网DEM对地形的表现能力渐趋增强。

Abstract: With the development of science and technology, it has been widely applied in scientific research for the large-scale DEM(digital elevation model)with data collected in field. The use of breakline would greatly improve the quality of DEM. In this paper breakline algorithm was detailedly analyzed in the construction of regular grid DEM. The data were measured by high-precision differential GPS. The grid DEM with bounding algorithm was in the form of large-scale gully, and it was then compared with measured values and the regular grid DEM without bounding algorithm. The results indicated that the grid DEM with bounding algorithm can compare very well with the real morphology. The TIN was also constructed with the same data, and it was then converted to regular grid DEM with the same resolution. The converted DEM didn’t have better performance than the regular grid DEM. It was also found that the RMSE between measured values and interpolation results decreases with the reduction of grid spacing, which demonstrates that the regular grid DEM has gradually enhanced fitting precision for terrain with decreasing grid spacing.

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