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
Link To Document :
بازگشت