• DocumentCode
    907446
  • Title

    Texture as a Discriminant of Crops on Radar Imagery

  • Author

    Berger, David H.

  • Author_Institution
    Department of Geography and the Center for Research in Engineering Science, University of Kansas, Lawrence, Kans.
  • Volume
    8
  • Issue
    4
  • fYear
    1970
  • Firstpage
    344
  • Lastpage
    348
  • Abstract
    Density, contrast, and contrast frequency were tested as textural attributes of wheat, sorghum, alfalfa, wheat stubble, and weeds, all crops having similar average density values on multipolarization K-band radar imagery but dissimilar plant geometries. Fifty-three microphotographs of fields displayed on Hedernheim (HH) imagery were scanned with a transmission densitometer, and contrast frequency values were derived. These measures did not yield significantly more information than that obtained in previous studies. It is, nevertheless, felt that texture and its associated attributes can often serve as reliable discriminants of crops and other areal extensive objects and contribute to the solution of automatic pattern recognition problems.
  • Keywords
    Crops; Frequency measurement; Geologic measurements; Geometry; Geoscience; K-band; Probability density function; Radar imaging; Shape; Testing;
  • fLanguage
    English
  • Journal_Title
    Geoscience Electronics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9413
  • Type

    jour

  • DOI
    10.1109/TGE.1970.271433
  • Filename
    4043435