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Building detection from aerial images using invariant color features and shadow information

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2 Author(s)
Beril Sirmacek ; Computer Vision Research Laboratory, Department of Electrical and Electronics Engineering, Yeditepe University, ¿stanbul, 34755 TURKEY ; Cem Unsalan

Robust detection of buildings is an important part of the automated aerial image interpretation problem. Automatic detection of buildings enables creation of maps, detecting changes, and monitoring urbanization. Due to the complexity and uncontrolled appearance of the scene, an intelligent fusion of different methods gives better results. In this study, we present a novel approach for building detection using multiple cues. We benefit from segmentation of aerial images using invariant color features. Besides, we use the edge and shadow information for building detection. We also determine the shape of the building by a novel method.

Published in:

Computer and Information Sciences, 2008. ISCIS '08. 23rd International Symposium on

Date of Conference:

27-29 Oct. 2008