摘要
为了弥补DEM中河道信息的缺失,从信息论的角度比较了引入矢量河网与栅格化河网各自在精度与效率上的优势,创建了一套通过"关系树"把DEM中隶属河道的栅格点群自动连接成水系的源头追索模型,把基于DEM和栅格化河网自动提取虚拟水系的方法推向实用.该模型能够充分利用目前各种电子地图中的水系图层,提高了虚拟河网的精度,而且可以在一定程度上解决传统方法中洼地与平原区的问题.该模型经过不同地区的多次验证,具有很强的实用价值.
In consideration of the lack of river information in DEM, two methods, the vector river network and Raster River Network (R-RN), which were introduced into the extraction of digital river system from DEM, were compared in precision and efficiency from the angle of informatics, and the latter was proved to be more efficient. Therefore, a new technique named Headstream Seeking Model (HSM) was developed to identify the drainage structure from DEM with R-RN. The present method improves the precision of virtual network because of its full use of river network charts in digital maps, and solves the problem of appearance of parallel river channels passing through plain and depression to a certain degree. The application of the method to different regions demonstrates its high applicability.
出处
《河海大学学报（自然科学版）》
CAS
CSCD
北大核心
2005年第2期119-122,共4页
Journal of Hohai University(Natural Sciences)
基金
国家重点基础研究发展规划资助项目(G199043400)
江苏省高等学校研究生创新计划资助项目(B04010)
