Automatic Plotting of Architectural Facades with Multispectral Images
Publication: Journal of Surveying Engineering
Volume 131, Issue 3
Abstract
This paper describes an automatic approach in architectural photogrammetry for the documentation and analysis of historic facades. Multispectral close-range images were taken and evaluated for identification of masonry wall materials. Digital image processing and close-range photogrammetric techniques were used to identify, nondestructively recognize, and map the materials and damages of a historic facade. Two supervised classification algorithms were analyzed: Maximum likelihood and minimum distance. Although the maximum likelihood was somewhat slower, it provides much higher classification accuracy than the minimum distance classifier. Additional to the statistical data, thematic images were obtained semiautomatically for visualization, management, and decision-making purposes.
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Information & Authors
Information
Published In
Journal of Surveying Engineering
Volume 131 • Issue 3 • August 2005
Pages: 73 - 77
Copyright
© 2005 ASCE.
History
Received: Apr 3, 2003
Accepted: Dec 29, 2004
Published online: Aug 1, 2005
Published in print: Aug 2005
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