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      Detection of compound structures using multiple hierarchical segmentations

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      Author(s)
      Akçay, H. Gökhan
      Aksoy, Selim
      Date
      2012
      Source Title
      2012 IEEE International Geoscience and Remote Sensing Symposium
      Print ISSN
      2153-6996
      Electronic ISSN
      2153-7003
      Publisher
      IEEE
      Pages
      6833 - 6836
      Language
      English
      Type
      Conference Paper
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      Abstract
      In this paper, our aim is to discover compound structures comprised of regions obtained from hierarchical segmentations of multiple spectral bands. A region adjacency graph is constructed by representing regions as vertices and connecting these vertices that are spatially close by edges. Then, dissimilarities between neighboring vertices are computed using statistical and structural features, and are assigned as edge weights. Finally, the compound structures are detected by extracting the connected components of the graph whose edges with relatively large weights are removed. Experiments using WorldView-2 images show that grouping of these vertices according to different criteria can extract high-level compound structures that cannot be obtained using traditional techniques. © 2012 IEEE.
      Keywords
      Object detection
      Compound structures
      Connected component
      Edge weights
      Graph-based representations
      Hier-archical clustering
      Hierarchical segmentation
      Object Detection
      Region adjacency graphs
      Spectral band
      Structural feature
      Traditional techniques
      Geology
      Remote sensing
      Permalink
      http://hdl.handle.net/11693/28123
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/IGARSS.2012.6352594
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      • Department of Computer Engineering 1435
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