地形的多分辨率形态表示

E. Danovaro, L. Floriani, M. Vitali, Laura Papaleo
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引用次数: 0

摘要

基于网格的地形表示提供了对地形的准确描述,但无法捕获地形的形态结构。地形的形态是由它的临界点和连接它们的临界线来定义的,它们形成了一个所谓的表面网络。除了紧凑之外,形态地形描述支持基于知识的方法来分析、可视化和理解地形数据集。此外,由于当前地形数据集的规模很大,地形形态的多分辨率表示至关重要。在这里,我们解决了在不同分辨率下表示地形形态的问题。多分辨率地形模型的基础,我们称之为多分辨率地表网络(MSN),是一个在地表网络上的泛化算子,它逐步产生一个简化的表示。MSN与多分辨率网格地形模型相结合,包含了不同分辨率的地形形态。我们展示了如何从MSN中提取可变分辨率表示,并且我们还展示了在紧凑编码数据结构中的MSN实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-resolution Morphological Representation of Terrains
Mesh-based terrain representations provide accurate descriptions of a terrain, but fail in capturing its morphological structure. The morphology of a terrain is defined by its critical points and by the critical lines joining them, which form a so-called surface network. Besides being compact, a morphological terrain description supports a knowledge-based approach to the analysis, visualization and understanding of a terrain dataset. Moreover, because of the large size of current terrain data sets, a multi-resolution representation of the terrain morphology is crucial. Here, we address the problem of representing the morphology of a terrain at different resolutions. The basis of the multi-resolution terrain model, that we call a Multi-resolution Surface Network (MSN), is a generalization operator on a surface network, which produces a simplified representation incrementally. An MSN is combined with a multi-resolution mesh-based terrain model, which encompasses the terrain morphology at different resolutions. We show how variable-resolution representations can be extracted from an MSN, and we present also an implementation of an MSN in a compact encoding data structure.
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