An improved building detection technique for complex scenes

Awrangjeb, M, Zhang, C and Fraser, C 2012, 'An improved building detection technique for complex scenes', in J. Zhang, D. Schonfeld and D. D. Feng (ed.) Proceedings of 2012 IEEE International Conference on Multimedia and Expo Workshops, Melbourne, Australia, 9-13 July 2012, pp. 516-521.


Document type: Conference Paper
Collection: Conference Papers

Title An improved building detection technique for complex scenes
Author(s) Awrangjeb, M
Zhang, C
Fraser, C
Year 2012
Conference name 2012 IEEE International Conference on Multimedia and Expo Workshops (ICMEW)
Conference location Melbourne, Australia
Conference dates 9-13 July 2012
Proceedings title Proceedings of 2012 IEEE International Conference on Multimedia and Expo Workshops
Editor(s) J. Zhang, D. Schonfeld and D. D. Feng
Publisher IEEE
Place of publication United States
Start page 516
End page 521
Total pages 6
Abstract The success of automatic building detection techniques lies in the effective separation of buildings from trees. This paper presents an improved automatic building detection technique that achieves more effective separation of buildings from trees. Firstly, it uses cues such as height to remove objects of low height such as bushes, and width to exclude trees with small horizontal coverage. The height threshold is also used to generate a ground mask where buildings are found to be more separable than in a so-called normalized DSM (digital surface model). Secondly, image entropy and colour information are jointly applied to remove easily distinguishable trees. Finally, an innovative rule-based procedure is employed using the edge orientation histogram from the imagery to eliminate false positive candidates. While tested on a number of scenes from four different test areas, the improved algorithm performed well even in complex scenes which are hilly and densely vegetated
Subjects Geospatial Information Systems
Infrastructure Engineering and Asset Management
Photogrammetry and Remote Sensing
Keyword(s) Automatic
building
detection
LIDAR
orthoimage
trees
Copyright notice © 2012 IEEE
ISBN 9780769547299
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