Building detection using directional spatial constraints
Author
Akçay, H. Gökhan
Aksoy, Selim
Date
2010Source Title
2010 IEEE International Geoscience and Remote Sensing Symposium
Publisher
IEEE
Pages
1932 - 1935
Language
English
Type
Conference PaperItem Usage Stats
126
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113
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Abstract
We propose an algorithm for automatic detection of buildings with complex shapes and roof structures in very high spatial resolution remotely sensed images. First, an initial oversegmentation is obtained. Then, candidate building regions are found using shadow and sun azimuth angle information. Finally, the building regions are selected by clustering the candidate regions using minimum spanning trees. The experiments on Ikonos scenes show that the algorithm is able to detect buildings with complex appearances and shapes. © 2010 IEEE.
Keywords
Building detectionMinimum spanning trees
Segmentation
Spatial relationships
Automatic Detection
Azimuth angles
Building detection
Complex shapes
Minimum spanning trees
Over segmentation
Remotely sensed images
Roof structures
Segmentation
Spatial constraints
Spatial relationships
Very high spatial resolutions
Algorithms
Geology
Remote sensing
Buildings
Permalink
http://hdl.handle.net/11693/28470Published Version (Please cite this version)
http://dx.doi.org/10.1109/IGARSS.2010.5652842Collections
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