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DNESYS-an expert system for automatic extraction of drainage networks from digital elevation data

机译:DNESYS-一种用于从数字高程数据中自动提取排水网络的专家系统

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The problems that arose in earlier programs to map drainage systems are analyzed in detail. An expert system called the drainage Network Extraction System (DNESYS) is described. It uses both local operator and global reasoning to extract drainage networks and ridge lines. A stream representation called a parameterized directed graph (PDG) is constructed to model a drainage system. The construction of the model begins with an initial pixel labeling procedure. Then, a network tracing and property measurement procedure converts the two-dimensional low-level labeling information into a symbolic database for high-level processing. The application of Dempster-Shafer evidence theory allows evidence collection and uncertain reasoning to be performed against the DNESYS knowledge-base that contains the drainage system model and the organized expert knowledge. By discarding erroneous information and supplying missing information, DNESYS produces a complete PDG which can be converted into the final drainage system.
机译:详细分析了早期绘制排水系统程序中出现的问题。描述了一种称为排水网络提取系统(DNESYS)的专家系统。它使用本地操作员和全局推理来提取排水网络和山脊线。构造称为参数化有向图(PDG)的流表示法以对排水系统进行建模。模型的构建从初始像素标记过程开始。然后,网络跟踪和属性测量过程将二维低级标签信息转换为用于高级处理的符号数据库。 Dempster-Shafer证据理论的应用允许针对DNESYS知识库(包括排水系统模型和组织的专家知识)进行证据收集和不确定的推理。通过丢弃错误的信息并提供缺少的信息,DNESYS产生了完整的PDG,可以将其转换为最终的排水系统。

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