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Information measures for terrain visualization

Many quantitative and qualitative studies in geoscience research are based on digital elevation models (DEMs) and 3D surfaces to aid understanding of natural and anthropogenically-influenced topography. As well as their quantitative uses, the visual representation of DEMs can add valuable information for identifying and interpreting topographic features. However, choice of viewpoints and rendering styles may not always be intuitive, especially when terrain data are augmented with digital image texture. In this paper, an information-theoretic framework for object understanding is applied to terrain visualization and terrain view selection. From a visibility channel between a set of viewpoints and the component polygons of a 3D terrain model, we obtain three polygonal information measures. These measures are used to visualize the information associated with each polygon of the terrain model. In order to enhance the perception of the terrain’s shape, we explore the effect of combining the calculated information measures with the supplementary digital image texture. From polygonal information, we also introduce a method to select a set of representative views of the terrain model. Finally, we evaluate the behaviour of the proposed techniques using example datasets. A publicly available framework for both the visualization and the view selection of a terrain has been created in order to provide the possibility to analyse any terrain model

This work has been founded in part by grant number TIN2010-21089-C03-01, TIN2013-47276-C6-1-R and BES-2011-045252 of Spanish Government, grant number 2014-SGR-1232 of Generalitat de Catalunya (Catalan Government)

© Computers and Geosciences, 2017, vol. 99, p. 9-18

Elsevier

Manager: Ministerio de Ciencia e Innovación (Espanya)
Ministerio de Economía y Competitividad (Espanya)
Author: Bonaventura Brugués, Xavier
Sima, Aleksandra Anna
Feixas Feixas, Miquel
Buckley, Simon John
Sbert, Mateu
Howell, John Anthony
Date: 2017 February 1
Abstract: Many quantitative and qualitative studies in geoscience research are based on digital elevation models (DEMs) and 3D surfaces to aid understanding of natural and anthropogenically-influenced topography. As well as their quantitative uses, the visual representation of DEMs can add valuable information for identifying and interpreting topographic features. However, choice of viewpoints and rendering styles may not always be intuitive, especially when terrain data are augmented with digital image texture. In this paper, an information-theoretic framework for object understanding is applied to terrain visualization and terrain view selection. From a visibility channel between a set of viewpoints and the component polygons of a 3D terrain model, we obtain three polygonal information measures. These measures are used to visualize the information associated with each polygon of the terrain model. In order to enhance the perception of the terrain’s shape, we explore the effect of combining the calculated information measures with the supplementary digital image texture. From polygonal information, we also introduce a method to select a set of representative views of the terrain model. Finally, we evaluate the behaviour of the proposed techniques using example datasets. A publicly available framework for both the visualization and the view selection of a terrain has been created in order to provide the possibility to analyse any terrain model
This work has been founded in part by grant number TIN2010-21089-C03-01, TIN2013-47276-C6-1-R and BES-2011-045252 of Spanish Government, grant number 2014-SGR-1232 of Generalitat de Catalunya (Catalan Government)
Format: application/pdf
Citation: 026264
ISSN: 0098-3004
Document access: http://hdl.handle.net/10256/13730
Language: eng
Publisher: Elsevier
Collection: MICINN/PN 2011-2013/TIN2010-21089-C03-01
MINECO/PE 2014-2016/TIN2013-47276-C6-1-R
Reproducció digital del document publicat a: http://dx.doi.org/10.1016/j.cageo.2016.10.007
Articles publicats (D-IMA)
Is part of: © Computers and Geosciences, 2017, vol. 99, p. 9-18
Rights: Tots els drets reservats
Subject: Imatges digitals
Digital images
Imatgeria tridimensional
Three-dimensional imaging
Percepció de les formes
Form perception
Title: Information measures for terrain visualization
Type: info:eu-repo/semantics/article
Repository: DUGiDocs

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