Models and Experiments for Adaptive Computer-Assisted Terrain Generalization
Models and Experiments for Adaptive Computer-Assisted Terrain Generalization
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DOI：
10.1559/152304092783762317
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发表时间：
1992
期刊：
影响因子：
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通讯作者：
R. Weibel
中科院分区：
文献类型：
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作者：
R. Weibel
本文中描述的项目有两个主要目标：设计一种适合不同地形类型、比例尺和地图用途的地形综合策略，并实施和评估该方法的一些组成部分，以评估其潜力。该策略包括三种不同的泛化方法：全局滤波方法、选择性（迭代）滤波方法和基于地形结构线泛化的启发式方法。对于给定的受地形特征、地图目标、比例尺、图形限制和数据质量约束的泛化问题，通过结构和过程识别程序选择合适的技术。该战略的一些关键组成部分已经实施，并进行了一些实验。其他部分通过提出可以作为实现指导方针的模型来涵盖。我们的工作旨在为今后的研究奠定基础。建议使用适当的参数…
The project described in this article had two primary objectives: to design a strategy for terrain generalization that is adaptive to different terrain types, scales, and map purposes, and to implement and evaluate some components of this approach to assess its potential. The strategy includes three different generalization methods: a global filtering procedure, a selective (iterative) filtering method, and a heuristic approach based on the generalization of the terrain's structure lines. For a given generalization problem that is constrained by the terrain character, map objective, scale, graphic limits, and data quality, the appropriate technique is selected through structure and process recognition procedures. Some of the key components of the strategy have been implemented and some experiments were conducted. Other parts were covered by proposing models that could serve as implementation guidelines. Our work was intended to break ground for future research. Recommendations for appropriate parameter se...