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      Tarım alanlarında doğrusal odunsu bitki gruplarının otomatik sezimi

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      Author
      Akçay, H. Gökhan
      Aksoy, Selim
      Date
      2009-04
      Source Title
      IEEE 17th Signal Processing and Communications Applications Conference, SIU 2009
      Publisher
      IEEE
      Pages
      652 - 655
      Language
      Turkish
      Type
      Conference Paper
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      Abstract
      Tarım alanlarının otomatik haritalanması ve izlenmesi önemli bir araştırma konusudur. Bu bildiride, çok yüksek çözünürlükteki uydu görüntülerinde doğrusal şeritler halindeki odunsu bitki gruplarının otomatik olarak sezilmesi için bir yöntem sunulmaktadır. Yötem, öznitelik çıkarma ve karar verme adımlarını sıradüzensel bir şekilde uygulayarak spektral, doku ve nesne şekil bilgisini bir arada kullanmaktadır. Farklı özellikte alanlardan elde edilen Quickbird görüntüleri üzerinde yapılan deneyler tatmin edici başarım göstermektedir. Automatic mapping and monitoring of agricultural landscapes is an important research problem. In this paper, we present a method for automatic mapping of linear strips of woody vegetation in very high-resolution imagery. The method combines spectral, textural and object shape information using hierarchical feature extraction and decision making steps. Experiments on Quickbird imagery from different sites show promising detection performance. ©2009 IEEE.
      Keywords
      Agricultural areas
      Agricultural landscapes
      Automatic detection
      Automatic mapping
      Detection performance
      Hierarchical feature extraction
      High resolution imagery
      Object shape
      Quickbird
      Research problems
      Woody vegetation
      Feature extraction
      Signal processing
      Vegetation
      Signal detection
      Permalink
      http://hdl.handle.net/11693/28709
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/SIU.2009.5136480
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      • Department of Computer Engineering 1409
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