DocumentCode :
3365568
Title :
Detecting buildings in aerial images using shape descriptors
Author :
Reno, A.L.
Author_Institution :
DRA, UK
Volume :
2
fYear :
1997
fDate :
14-17 Jul 1997
Firstpage :
468
Abstract :
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
Keywords :
image segmentation; aerial images; buildings; characteristic regions; classification probability; high-level vision system; image segmentation; interest operator; nonbuildings; remote sensing; shape attributes; shape descriptors; training shapes;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Image Processing and Its Applications, 1997., Sixth International Conference on
Conference_Location :
Dublin
ISSN :
0537-9989
Print_ISBN :
0-85296-692-X
Type :
conf
DOI :
10.1049/cp:19970937
Filename :
615569
Link To Document :
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