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      • Department of Computer Engineering
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      Building detection using directional spatial constraints

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      Author
      Akçay, H. Gökhan
      Aksoy, Selim
      Date
      2010
      Source Title
      2010 IEEE International Geoscience and Remote Sensing Symposium
      Publisher
      IEEE
      Pages
      1932 - 1935
      Language
      English
      Type
      Conference Paper
      Item Usage Stats
      126
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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 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
      Permalink
      http://hdl.handle.net/11693/28470
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/IGARSS.2010.5652842
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