| 王加虎,郝振纯,李 丽.河道矢量化的深弘演进模型研究[J].水利学报,2005,36(8):0972-0977 |
| 河道矢量化的深弘演进模型研究 |
| Method for automatic determining the flow direction of raster river network |
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| DOI： |
| 中文关键词: 数字高程模型 深弘演进模型 矢量河网 |
| 英文关键词: digital elevation model(DEM) rater river network vector river network flow direction automatic determination |
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| 中文摘要: |
| 本文在已有的源头追索模型的基础上，建立了更有效的栅格河道矢量化方法——深弘演进模型。该模型利用电子地图的河网图层与数字高程模型(DEM)叠加形成复合数据，以栅格化河道最低点的轨迹来确定流向，通过计算并比较研究区域的特征高程依次筛选出研究区域可能的出口，并由其向上游扩展确定邻接河网栅格的流向。该方法综合考虑了流域的地形走向和其中的河网特性，可以避免局部的资料“噪音”等高程波动对流向确定的干扰。模型利用多分支判断和带指针的记忆链算法在计算机中自动完成。该模型最大限度的利用了当前信息，提高了计算结果的期望精度。 |
| 英文摘要: |
| A method for automatic determining the flow direction of raster river network is developed. The new technique is named Deep First Model(DFM). It use the composed data of electronic map and DEM and automatically identifies the flow direction according to the lowest points of the raster river network. The possible exits can be found by successively calculating and comparing the characteristic elevation in the studied area, and the flow directions of the adjacent raster river networks can be determined by extending the data forward to the upstream. In this method the trend of terrain and the characteristics of the river network are comprehensively considered and the effect of irregular elevation variation can be avoided. |
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