- Title
- Minimum spanning trees for valley and ridge characterization in digital elevation maps
- Creator
- Bangay, Shaun D, de Bruyn, David, Glass, Kevin R
- Subject
- To be catalogued
- Date
- 2010
- Type
- text
- Type
- article
- Identifier
- http://hdl.handle.net/10962/433247
- Identifier
- vital:72955
- Identifier
- https://doi.org/10.1145/1811158.1811171
- Description
- Texture synthesis employs neighbourhood matching to generate appropriate new content. Terrain synthesis has the added constraint that new content must be geographically plausible. The profile recognition and polygon breaking algorithm (PPA) [Chang et al. 1998] provides a robust mechanism for characterizing terrain as systems of valley and ridge lines in digital elevation maps. We exploit this to create a terrain characterization metric that is robust, efficient to compute and is sensitive to terrain properties.
- Format
- 9 pages, pdf
- Language
- English
- Relation
- Proceedings of the 7th international conference on Computer graphics, virtual reality, visualisation and interaction in Africa, Bangay, S., de Bruyn, D. and Glass, K., 2010, June. Minimum spanning trees for valley and ridge characterization in digital elevation maps. In Proceedings of the 7th International Conference on Computer Graphics, Virtual Reality, Visualisation and Interaction in Africa (pp. 73-82), Proceedings of the 7th international conference on Computer graphics, virtual reality, visualisation and interaction in Africa volume 2010 number 1 73 82 2010 978-1-4503-0118-3
- Rights
- Publisher
- Rights
- Use of this resource is governed by the terms and conditions of the ACM Digital Library Statement (https://libraries.acm.org/digital-library/policies#anchor3)
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- Visitors: 15
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Collections
Bangay, Shaun Douglas (Dr)
RU Department of Computer Science
SDG 09. Industry, Innovation and Infrastructure
| Thumbnail | File | Description | Size | Format | |||
|---|---|---|---|---|---|---|---|
| View Details | SOURCE1 | Minimum spanning trees for valley and ridge characterization in digital elevation maps.pdf | 698 KB | Adobe Acrobat PDF | View Details |