Permanent URL to this publication: http://dx.doi.org/10.5167/uzh-6439
|PDF - Registered users only|
This paper presents an approach to automated building grouping and generalization. Three principles of Gestalt theories, i.e. proximity, similarity, and common
directions, are employed as guidelines, and six parameters, i.e. minimum distance, area of visible scope, area ratio, edge number ratio, smallest minimum bounding rectangle
(SMBR), directional Voronoi diagram (DVD), are selected to describe spatial patterns, distributions and relations of buildings. Based on these principles and parameters, an
approach to building grouping and generalization is developed. First, buildings are triangulated based on Delaunay triangulation rules, by which topological adjacency
relations between buildings are obtained and the six parameters are calculated and recorded. Every two topologically adjacent buildings form a potential group. Three criteria from previous experience and Gestalt principles are employed to tell whether a 2-building
group is ‘strong,’ ‘average’ or ‘weak.’ The ‘weak’ groups are deleted from the group array.
Secondly, the retained groups with common buildings are organized to form intermediate groups according to their relations. After this step, the intermediate groups with common buildings are aggregated or separated and the final groups are formed. Finally, appropriate
operators/algorithms are selected for each group and the generalized buildings are achieved.
This approach is fully automatic. As our experiments show, it can be used primarily in the generalization of buildings arranged in blocks.
|Item Type:||Journal Article, refereed, original work|
|Communities & Collections:||07 Faculty of Science > Institute of Geography|
|DDC:||910 Geography & travel|
|Uncontrolled Keywords:||Gestalt principles - building grouping - directional relations - map generalization|
|Date:||08 March 2008|
|Deposited On:||02 Dec 2008 12:01|
|Last Modified:||27 Nov 2013 19:12|
|Citations:||Web of Science®. Times cited: 7|
Users (please log in): suggest update or correction for this item
Repository Staff Only: item control page