Automatic building detection using the Dempster-Shafer algorithm

Lu, Yi Hui, Trinder, John C. and Kubik, Kurt (2006) Automatic building detection using the Dempster-Shafer algorithm. Photogrammetric Engineering And Remote Sensing, 72 4: 395-403.

Author Lu, Yi Hui
Trinder, John C.
Kubik, Kurt
Title Automatic building detection using the Dempster-Shafer algorithm
Journal name Photogrammetric Engineering And Remote Sensing   Check publisher's open access policy
ISSN 0099-1112
Publication date 2006
Sub-type Article (original research)
Volume 72
Issue 4
Start page 395
End page 403
Total pages 9
Place of publication Bethesda
Publisher Amer Soc Photogrammetry
Collection year 2006
Language eng
Subject CX
0909 Geomatic Engineering
Abstract An approach and strategy for automatic detection of buildings from aerial images using combined image analysis and interpretation techniques is described in this paper. It is undertaken in several steps. A dense DSM is obtained by stereo image matching and then the results of multi-band classification, the DSM, and Normalized Difference Vegetation Index (NDVI) are used to reveal preliminary building interest areas. From these areas, a shape modeling algorithm has been used to precisely delineate their boundaries. The Dempster-Shafer data fusion technique is then applied to detect buildings from the combination of three data sources by a statistically-based classification. A number of test areas, which include buildings of different sizes, shape, and roof color have been investigated. The tests are encouraging and demonstrate that all processes in this system are important for effective building detection.
Keyword Dempster-shafer
Q-Index Code CX

Document type: Journal Article
Sub-type: Article (original research)
Collection: School of Information Technology and Electrical Engineering Publications
 
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Created: Wed, 15 Aug 2007, 08:27:18 EST