Treffer: Terrain prickliness: theoretical grounds for high complexity viewsheds

Title:
Terrain prickliness: theoretical grounds for high complexity viewsheds
Contributors:
Ankush Acharyya and Ramesh K. Jallu and Maarten Löffler and Gert G.T. Meijer and Maria Saumell and Rodrigo I. Silveira and Frank Staals, Sub Geometric Computing, Geometric Computing, Janowicz, Krzysztof, Verstegen, Judith A.
Source:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
11th International Conference on Geographic Information Science (GIScience 2021)-Part II
Publisher Information:
Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, 2021.
Publication Year:
2021
Document Type:
Konferenz Conference object<br />Part of book or chapter of book<br />Article
File Description:
application/pdf
Language:
English
ISSN:
1868-8969
DOI:
10.4230/lipics.giscience.2021.ii.10
Rights:
CC BY
Accession Number:
edsair.dedup.wf.002..c2735ae630ae7014c55fdffa6052d02f
Database:
OpenAIRE

Weitere Informationen

An important task when working with terrain models is computing viewsheds: the parts of the terrain visible from a given viewpoint. When the terrain is modeled as a polyhedral terrain, the viewshed is composed of the union of all the triangle parts that are visible from the viewpoint. The complexity of a viewshed can vary significantly, from constant to quadratic in the number of terrain vertices, 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 perspectives. We show that the prickliness effectively captures the potential of 2.5D terrains to have high complexity viewsheds, and we present near-optimal algorithms to compute the prickliness of 1.5D and 2.5D terrains. We also report on some experiments relating the prickliness of real word 2.5D terrains to the size of the terrains and to their viewshed complexity.