Building detection using directional spatial constraints

Date
2010
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Source Title
2010 IEEE International Geoscience and Remote Sensing Symposium
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Publisher
IEEE
Volume
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Pages
1932 - 1935
Language
English
Type
Conference Paper
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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.

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Keywords
Building detection, Minimum 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
Citation
Published Version (Please cite this version)