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Constructing a prior information base for river mapping from digital images and DEMs by an advanced image interpretation system.

机译:通过先进的图像解释系统,从数字图像和DEM构建河流地图的先验信息库。

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The purpose of this dissertation is to describe the construction of a prior information-base (interpretation of river characteristics) for river mapping from digital representations, such as remotely sensed digital images and DEMs, by an advanced image interpretation system. More reliable prior information availability in an advanced image interpretation system enables GIS and remote sensing facilities to locate rivers in an easier, more accurate and more straightforward way. In this study, the author proposes a prior information-base including some rules and facts for river mapping from the use of both remotely sensed multi-spectral images and DEMs. These rules not only allow water-related applications in both GIS and remote sensing to be more accurate, but also construct the information-base for river mapping by an advanced image interpretation system. These rules were constructed as a synthesis from searching the literature and experiments with both digital images and DEMs. These rules are employed in an advanced image interpretation system which requires (1) a prior information-base; (2) a working memory; (3) an inference module (Caelli and Bischof, 1997; Schenk and Zilberstein, 1990). A prior information-base is formed by a set of rules (qualitative or quantitative or relationships). A working memory has the basic function of holding features in the form of spatial data and their attribute values. These spatial and attribute data are used by interpreters to activate the rules. Inference module refers to software and hardware that connect the user's questions to the prior information-base and instruct the user (interpreter) about the process. In this dissertation, a prior information-based river mapping was implemented and the proposed rules were tested studying both images and DEMs in IDRISI, as well as RiverTools.
机译:本文的目的是通过先进的图像解释系统,从诸如遥感数字图像和DEM之类的数字表示形式,描述用于河流地图绘制的先验信息库(河流特征的解释)。先进的图像解释系统中更可靠的先验信息可用性使GIS和遥感设施可以更轻松,更准确和更直接地定位河流。在这项研究中,作者提出了一个先验信息库,其中包括使用遥感多光谱图像和DEM进行河流制图的一些规则和事实。这些规则不仅使GIS和遥感中与水有关的应用程序更加精确,而且还通过先进的图像解释系统为河流制图构建了信息库。这些规则是通过搜索文献和使用数字图像和DEM进行的实验综合而成的。这些规则用于高级图像解释系统中,该系统需要(1)事先的信息库; (2)工作记忆; (3)推理模块(Caelli和Bischof,1997; Schenk和Zilberstein,1990)。先验信息库由一组规则(定性或定量或关系)构成。工作存储器的基本功能是以空间数据及其属性值的形式保存要素。这些空间和属性数据由解释器用来激活规则。推理模块是指将用户的问题连接到先前的信息库并向用户(解释器)指示有关过程的软件和硬件。本文对现有的基于信息的河流制图进行了研究,并在IDRISI和RiverTools中研究了图像和DEM,对提出的规则进行了测试。

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