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Using Hachures to Construct a 3D Doline Model Automatically

Bibliographic Data

ID14701425
AuthorsNai Yang (0000-0001-5306-1163, China University of Geosciences, corresponding author), Lin Wan (0000-0002-9320-3725, China University of Geosciences), Guizhou Zheng (China University of Geosciences), Gui-zhou Zheng (China University of Geosciences), Jie Yang (0000-0001-6912-4966, China University of Geosciences)
Year2015
Volume50
Issue2
Pages86-93
Publication date2015-06-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueCartographica The International Journal for Geographic Information and Geovisualization (JOURNAL)
Journal identifiersISSN: 0317-7173 • E-ISSN: 1911-9925
PublisherUniversity of Toronto Press Inc. (UTPress) (PUBLISHER)
DOI10.3138/cart.50.2.2793
OpenAlexW1863422776
LanguageEN
Citations received1
References cited3

All types of relief features are usually represented by a unified digital terrain model on 3D topographic maps. Few studies have considered the differences in relief characteristics and terrain complexity. Hachures are often used to construct the relief symbols on 2D topographic maps, but they are less used on 3D topographic maps. This article uses hachures to construct a 3D doline model and divides them into three types: outlines, ridge lines, and break lines. We present the extraction method for doline outlines, consider the rules of visual perception under different illumination conditions, and study the mathematical models for representing the morphological characteristics of the doline with regard to the following aspects: width, arrangement density, and grey value of hachures. Finally, we introduce a process for 3D modelling of dolines on the basis of the above discussion. Experimental results indicate that the proposed model achieves a good 3D visual representation of dolines. Furthermore, the proposed model can also be used as a reference for the creation of 3D models of other negative relief features

3d model · Archaeology · Basis (linear algebra · Cartography · Computer vision · Construct (python library · Digital elevation model · Geography · Geometry · Process (computing · Raised-relief map · Remote sensing · Representation (politics · Ridge · Sinkhole · Terrain · Computer Science · Geographic Information Systems Studies · Mathematics · Remote Sensing and Land Use · Remote Sensing and LiDAR Applications · Artificial Intelligence

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Unique citing works1
Citations per year0.17
Citation span2020 - 2020 (1)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 1

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