<p>Terrain viewshed analysis, which is a core spatial analysis technology, holds an important position in GISs. Viewsheds are typically represented as field models of discrete sets of visible scattered points in which the local clustering and spatial structural characteristics of the points are neglected. As a branch of terrain viewsheds, communication viewsheds are used to analyze signal reception with signal towers as observation points. In this study, a structured representation method in which communication viewsheds are used as examples, is proposed. First, each terrain point is treated as a base station, and the communication viewsheds are obtained. Second, each communication viewshed is segmented into subregions using feature recognition, and seven parameters are defined to describe the characteristics of each subregion. Finally, consistency and application verification are used to evaluate the effectiveness of the proposed methods. The experimental results show that the method can effectively reveal the spatial distribution characteristics of communication signal coverage, thereby providing theoretical support for quickly obtaining solutions to base station site planning problems. Furthermore, the structured representation method is also a lossy data compression method. This method is compared with the existing visibility data compression method, and the results indicate that the compression ratio can reach hundreds and increases exponentially with increasing terrain complexity.</p>

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Structured representation and compression method of viewshed: An example analysis of communication viewshed

  • Yiwen Wang,
  • Jun Zhu,
  • Wanfeng Dou

摘要

Terrain viewshed analysis, which is a core spatial analysis technology, holds an important position in GISs. Viewsheds are typically represented as field models of discrete sets of visible scattered points in which the local clustering and spatial structural characteristics of the points are neglected. As a branch of terrain viewsheds, communication viewsheds are used to analyze signal reception with signal towers as observation points. In this study, a structured representation method in which communication viewsheds are used as examples, is proposed. First, each terrain point is treated as a base station, and the communication viewsheds are obtained. Second, each communication viewshed is segmented into subregions using feature recognition, and seven parameters are defined to describe the characteristics of each subregion. Finally, consistency and application verification are used to evaluate the effectiveness of the proposed methods. The experimental results show that the method can effectively reveal the spatial distribution characteristics of communication signal coverage, thereby providing theoretical support for quickly obtaining solutions to base station site planning problems. Furthermore, the structured representation method is also a lossy data compression method. This method is compared with the existing visibility data compression method, and the results indicate that the compression ratio can reach hundreds and increases exponentially with increasing terrain complexity.