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dc.contributor.author
Geisthövel, Roman
dc.contributor.supervisor
Hurni, Lorenz
dc.contributor.supervisor
Bill, Ralf
dc.date.accessioned
2017-10-27T06:23:45Z
dc.date.available
2017-10-26T14:53:23Z
dc.date.available
2017-10-27T06:23:45Z
dc.date.issued
2017
dc.identifier.uri
http://hdl.handle.net/20.500.11850/201368
dc.identifier.doi
10.3929/ethz-b-000201368
dc.description.abstract
The main objective of this thesis is the reproduction of the style of rock depiction featured in the Swiss National Map by digital means. Since the production of such rock hachures is still done manually by trained specialists, automating the process is going to benefit experts and laypersons alike, who want to include Swiss style rock hachures into their maps. Additionally, automation offers fast, reproducible and economically feasible results. After describing the anatomy of rock hachures, and a brief historical survey, current approaches to automating rock depiction are discussed, resulting in the following principles for the development of the novel method. Within a map, rock depiction is no isolated concept. It is intimately connected to the depiction of shaded relief. Both map elements represent a lighting model that is focused on preserving contrast across terrain edges like ridges and ravines. This model is quite different from analytical Lambertian shading employed in many current approaches. On a structural level, shaded relief is simpler than rock hachures: a variation of grey values versus multiple kinds of jittered hachures, i. e. broad form strokes and narrow contour strokes for indicating the rock skeleton, as well as fill hachures depicting light-modulated faces. From this structural disparity follows the primacy of the shaded relief in the workflow. The rock hachures are derived from the shaded relief. As with all map elements, the issue of generalization needs to be addressed for rock hachures and the shaded relief. These principles are implemented as follows. The user supplied raster elevation model is generalized along slope lines using line integral convolution. For the purpose of determining terrain edges, two shaded reliefs are generated, using a main lighting direction and an orthogonal direction. The terrain edges are computed by merging the discontinuities of the two shaded reliefs, extracted using an edge detection algorithm. Grey values are assigned to either side of every terrain edge, while care is being taken that the assignments maintain contrast and generally observe the main lighting direction. The grey values of the remaining faces between terrain edges are computed by solving a Laplace equation, where the already assigned grey values serve as the boundary condition. The rock faces are covered with fill hachures, where the stroke width is derived from the grey values of the shaded relief. The form and contour strokes are derived by offsetting the terrain edges according to the gradient of the shaded relief. The method is automatic in the sense that, apart from the raster elevation model and a mask indicating the raster cells covered by rock, the user is only supposed to enter declarative parameters, e. g. the main lighting direction. It follows that in using this method, expert knowledge is no decisive factor. Different users providing the same input will arrive at equal results.
en_US
dc.format
application/pdf
dc.language.iso
en
en_US
dc.publisher
ETH Zurich
en_US
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.subject
Terrain generalization
en_US
dc.subject
Relief shading
en_US
dc.subject
Rock drawing
en_US
dc.subject
HATCHING + HACHURES + ROCK-DRAWING (CARTOGRAPHY)
en_US
dc.subject
RELIEF MAPPING, TWO DIMENSIONAL (CARTOGRAPHY)
en_US
dc.subject
CARTOGRAPHIC DRAWING TECHNIQUES
en_US
dc.subject
BERGSTRICHE + SCHRAFFEN + FELSZEICHNUNG (KARTOGRAPHIE)
en_US
dc.subject
RELIEFKARTOGRAPHIE, ZWEIDIMENSIONAL (KARTOGRAPHIE)
en_US
dc.subject
KARTOGRAPHISCHE ZEICHENVERFAHREN
en_US
dc.title
Automatic Swiss style rock depiction
en_US
dc.type
Doctoral Thesis
dc.rights.license
In Copyright - Non-Commercial Use Permitted
dc.date.published
2017-09-27
ethz.size
97 p.
en_US
ethz.code.ddc
DDC - DDC::5 - Science::520 - Astronomy, cartography
en_US
ethz.notes
Funded by SNF grant "Terrain analysis, feature extraction and model deformation for cartographic generalisation and visualisation" (200021-127224).
en_US
ethz.identifier.diss
24328
en_US
ethz.publication.place
Zurich
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02115 - Dep. Bau, Umwelt und Geomatik / Dep. of Civil, Env. and Geomatic Eng.::02648 - Inst. f. Kartografie und Geoinformation / Institute of Cartography&Geoinformation::03466 - Hurni, Lorenz / Hurni, Lorenz
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02115 - Dep. Bau, Umwelt und Geomatik / Dep. of Civil, Env. and Geomatic Eng.::02648 - Inst. f. Kartografie und Geoinformation / Institute of Cartography&Geoinformation::03466 - Hurni, Lorenz / Hurni, Lorenz
ethz.relation.cites
handle/20.500.11850/567243
ethz.relation.cites
20.500.11850/85120
ethz.relation.cites
10.3929/ethz-a-010607486
ethz.relation.cites
20.500.11850/156429
ethz.relation.cites
20.500.11850/107905
ethz.relation.cites
10.3929/ethz-a-005659211
ethz.relation.cites
10.3929/ethz-a-001441315
ethz.relation.cites
20.500.11850/43189
ethz.relation.cites
10.3929/ethz-b-000094763
ethz.date.deposited
2017-10-26T14:53:24Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-10-27T06:24:31Z
ethz.rosetta.lastUpdated
2023-02-06T14:44:30Z
ethz.rosetta.versionExported
true
ethz.COinS
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