Terrain Prickliness: Theoretical Grounds for High Complexity Viewsheds

Authors Ankush Acharyya, Ramesh K. Jallu, Maarten Löffler, Gert G.T. Meijer, Maria Saumell, Rodrigo I. Silveira, Frank Staals



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Author Details

Ankush Acharyya
  • The Czech Academy of Sciences, Institute of Computer Science, Prague, Czech Republic
Ramesh K. Jallu
  • The Czech Academy of Sciences, Institute of Computer Science, Prague, Czech Republic
Maarten Löffler
  • Deptartment of Information and Computing Sciences, Utrecht University, The Netherlands
Gert G.T. Meijer
  • Academy of ICT and Creative Technologies, NHL Stenden University of Applied Sciences, The Netherlands
Maria Saumell
  • The Czech Academy of Sciences, Institute of Computer Science, Prague, Czech Republic
  • Department of Theoretical Computer Science, Faculty of Information Technology, Czech Technical University in Prague, Czech Republic
Rodrigo I. Silveira
  • Department of Mathematics, Universitat Politècnica de Catalunya, Barcelona, Spain
Frank Staals
  • Department of Information and Computing Sciences, Utrecht University, The Netherlands

Acknowledgements

The authors would like to thank Jeff Phillips for a stimulating discussion that, years later, led to the notion of prickliness.

Cite AsGet BibTex

Ankush Acharyya, Ramesh K. Jallu, Maarten Löffler, Gert G.T. Meijer, Maria Saumell, Rodrigo I. Silveira, and Frank Staals. Terrain Prickliness: Theoretical Grounds for High Complexity Viewsheds. In 11th International Conference on Geographic Information Science (GIScience 2021) - Part II. Leibniz International Proceedings in Informatics (LIPIcs), Volume 208, pp. 10:1-10:16, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)
https://doi.org/10.4230/LIPIcs.GIScience.2021.II.10

Abstract

An important task in terrain analysis is computing viewsheds. A viewshed is the union of all the parts of the terrain that are visible from a given viewpoint or set of viewpoints. The complexity of a viewshed can vary significantly depending on the terrain topography and the viewpoint position. In this work we study a new topographic attribute, the prickliness, that measures the number of local maxima in a terrain from all possible angles of view. We show that the prickliness effectively captures the potential of terrains to have high complexity viewsheds. We present near-optimal algorithms to compute it for TIN terrains, and efficient approximate algorithms for raster DEMs. We validate the usefulness of the prickliness attribute with experiments in a large set of real terrains.

Subject Classification

ACM Subject Classification
  • Theory of computation → Theory and algorithms for application domains
Keywords
  • Digital elevation model
  • Triangulated irregular network
  • Viewshed complexity

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