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Fuzzy Digital Elevation Model

机译:模糊数字高程模型

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摘要

Digital Elevation Model (DEM) is often used when referring to the topographic digital representation. Nowadays, DEM is one of the most powerful tools in many applications, such as geodesy, cartography and terrain analysis. DEM also plays an important role in decision making and decision analysis. DEM provides users many advantages, for instance, instead of using complex methods, the DEM can also produce the height information for spatial analysis with less complexity and more effective way. At the present, the DEM is usually based on GRID (regular raster model) or on TIN (Triangulated Irregular Network) concepts. From these two methods, the TIN model is preferred. To some extent, geodesy does not accept the imprecise information as the geodetic data are often viewed as precise data. Nevertheless, it is quite obvious that any kind of geographical information contains imprecision or vagueness. When dealing with uncertainty geographical information issues, one of the most popular applications like fuzzy theories and concepts are often pointed out and taken into account. Fuzzy concepts seem to give wider opportunities to study and understand the imprecise geographical information, as the concepts allow users to model the imprecision naturally and different methods of defuzzifications also give a better understanding of the results. In other words, fuzzy theories, unlike classical theories, support imprecise information to be viewed and modeled to study the vagueness in elevation data more realistically. Fuzzy DEM is, therefore, introduced and developed in this research.
机译:当指代地形数字表示时,通常使用数字高程模型(DEM)。如今,DEM是许多应用程序中最强大的工具之一,例如大地测量,制图和地形分析。 DEM在决策和决策分析中也起着重要作用。 DEM为用户提供了许多优势,例如,代替使用复杂的方法,DEM还可以以更少的复杂性和更有效的方式生成用于空间分析的高度信息。目前,DEM通常基于GRID(常规栅格模型)或TIN(三角不规则网络)概念。从这两种方法中,首选TIN模型。在一定程度上,由于大地测量数据通常被视为精确数据,因此大地测量学不会接受不精确的信息。但是,很明显,任何种类的地理信息都包含不精确性或模糊性。在处理不确定性地理信息问题时,经常指出并考虑到最流行的应用之一,例如模糊理论和概念。模糊概念似乎为研究和理解不精确的地理信息提供了更大的机会,因为这些概念使用户可以自然地对不精确性进行建模,而不同的去模糊方法也可以更好地理解结果。换句话说,与经典理论不同,模糊理论支持对不精确信息进行查看和建模,以更实际地研究高程数据中的模糊性。因此,在本研究中引入和发展了模糊DEM。

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