.png){kind=icon}
返回
Automatic drainage pattern recognition in river networks
.png){kind=icon}
PRE
AI
DOI：10.1080/13658816.2013.802794.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In both geographic information system and terrain analysis, drainage systems are important components. Owing to local topography and subsurface geology, a drainage system achieves a particular drainage pattern based on the form and texture of its network of stream channels and tributaries. Although research has been done on the description of drainage patterns in geography and hydrology, automatic drainage pattern recognition in river networks is not well developed. This article introduces a new method for automatic classification of drainage systems in different patterns. The method applies to river networks, and the terrain model is not required in the process. A series of geometric indicators describing each pattern are introduced. Network classification is based on fuzzy set theory. For each pattern, the level of membership of the network is given by the different indicator values. The method was implemented, and the experimental results are presented and discussed.
Keyword:
river network
drainage pattern
terrain analysis
fuzzy logic
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
5.1
论文数:
2.7K
被引数:
9.3K
机构
引用论文
分享收藏分享收藏A modified binary tree codification of drainage networks to support complex hydrological models
PREAI
分享收藏Events during the first four rounds of mitosis establish three developmental domains in the syncytial endosperm of Arabidopsis thaliana.png)
Protoplasma
ProtoplasmaIF0
PREAI
分享收藏
查看更多内容