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Detection of extruded features like rooftops and trees in aerial images automatically is a very active area of research. Elevated features identified from aerial imagery have potential applications in urban

Detection of extruded features like rooftops and trees in aerial images automatically is a very active area of research. Elevated features identified from aerial imagery have potential applications in urban planning, identifying cover in military training or flight training. Detection of such features using commonly available geospatial data like orthographic aerial imagery is very challenging because rooftop and tree textures are often camouflaged by similar looking features like roads, ground and grass.

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    Date Created
    • 2013
    Resource Type
  • Text
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    Note
    • Partial requirement for: M.S., Arizona State University, 2013
      Note type
      thesis
    • Includes bibliographical references (p. 48-50)
      Note type
      bibliography
    • Field of study: Computer science

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    by Kunal Khanna

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