Characterizing and Counting Roofless Buildings in Very High Resolution Optical Images

Roofless buildings are encountered in case of conflicts and disasters as well as construction sites. A methodology for characterizing and counting roofless buildings in very high resolution optical images is presented. Using morphological transform to extract specific image components, the proposed...

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Bibliographic Details
Published in:IEEE geoscience and remote sensing letters 2012-01, Vol.9 (1), p.114-118
Main Authors: Gueguen, L., Pesaresi, M., Gerhardinger, A., Soille, P.
Format: Article
Language:English
Subjects:
Aggregates
Buildings
Counting
crisis
detection
Estimates
Fuzzy logic
Ground truth
High resolution
Image resolution
Optical imaging
Optical sensors
Pixel
Remote sensing
roofless buildings
Satellites
very high resolution (VHR) image
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Summary:Roofless buildings are encountered in case of conflicts and disasters as well as construction sites. A methodology for characterizing and counting roofless buildings in very high resolution optical images is presented. Using morphological transform to extract specific image components, the proposed method spatially aggregates them in a fuzzy logic framework. The result is a map of roofless building membership. This membership map is then used with partial ground truth to estimate the total number of roofless buildings. Finally, the methods are validated with a WorldView panchromatic image, where the membership map and the counting estimate show good accuracies.
ISSN:1545-598X
1558-0571
DOI:10.1109/LGRS.2011.2161750