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      • Department of Computer Engineering
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      Morphological segmentation of urban structures

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      Author
      Akçay, H. Gökhan
      Aksoy, Selim
      Date
      2007-04
      Source Title
      2007 Urban Remote Sensing Joint Event, URS
      Publisher
      IEEE
      Language
      English
      Type
      Conference Paper
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      Abstract
      Automatic segmentation of high-resolution remote sensing imagery is an important problem in urban applications because the resulting segmentations can provide valuable spatial and structural information that are complementary to pixel-based spectral information in classification. We present a method that combines structural information extracted by morphological processing with spectral information summarized using principal components analysis to produce precise segmentations that are also robust to noise. First, principal components are computed from hyper-spectral data to obtain representative bands. Then, candidate regions are extracted by applying connected components analysis to the pixels selected according to their morphological profiles computed using opening and closing by reconstruction with increasing structuring element sizes. Next, these regions are represented using a tree, and the most meaningful ones are selected by optimizing a measure that consists of two factors: spectral homogeneity, which is calculated in terms of variances of spectral features, and neighborhood connectivity, which is calculated using sizes of connected components. The experiments show that the method is able to detect structures in the image which are more precise and more meaningful than the structures detected by another approach that does not make strong use of neighborhood and spectral information. © 2007 IEEE.
      Keywords
      Morphology
      Optimization
      Remote sensing
      Spectrum analysis
      Automatic segmentation
      Spectral homogeneity
      Urban structures
      Image segmentation
      Permalink
      http://hdl.handle.net/11693/27093
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/URS.2007.371765
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      • Department of Computer Engineering 1368
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