Winstanley, Adam C. and O'Donoghue, Diarmuid and Keyes, Laura (2000) Topographical Object Recognition through Structural Mapping. In: 1st International Conference on Geographic Information Science - GIScience 2000, 28-31 October 2000, Savannah, Georgia, USA.

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Abstract

The automatic classification of geometric topographical data into object types (and/or feature codes) can partially be done through recognition of shape [Keyes & Winstanley 2000]. Performance can be improved by extending the classification mechanism with contextual information. This improves the accuracy of automatic classification because we can frequently resolve ambiguous data by examining its context to provide evidence for category membership (thus informally, for example, we can say that a square on a map is more likely to depict a house if it is near a road).

Item Type:	Conference or Workshop Item (Paper)
Keywords:	Topographical Object Recognition; Structural Mapping; automatic classification; ambiguous data;
Academic Unit:	Faculty of Science and Engineering > Computer Science
Item ID:	10373
Depositing User:	Dr. Diarmuid O'Donoghue
Date Deposited:	04 Jan 2019 16:43
Refereed:	Yes
URI:
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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