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Characterizing and Counting Roofless Buildings in Very High Resolution Optical Images

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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.
2011-12-16
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
JRC62554
1545-598X,   
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5975197,    https://publications.jrc.ec.europa.eu/repository/handle/JRC62554,   
10.1109/LGRS.2011.2161750,   
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