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Detecting buildings in aerial images using shape descriptors

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1 Author(s)
Reno, A.L. ; DRA, UK

Image segmentation and an interest operator are combined to identify characteristic regions that are likely to correspond to parts of buildings. A set of general purpose shape descriptors are calculated and each region is assigned a classification probability. The shape attributes of classes relating to buildings and non-buildings are represented by a set of training shapes, from which these probabilities are derived. The classification probabilities are used by our high-level vision system which fuses several sources of information to interpret the scene

Published in:

Image Processing and Its Applications, 1997., Sixth International Conference on  (Volume:2 )

Date of Conference:

14-17 Jul 1997