DocumentCode
315111
Title
A framework for SAR image classification: comparison of co-occurrence and a Gabor based method
Author
Manian, Vidya ; Vásquez, Ramón
Author_Institution
Dept. of Electr. & Comput. Eng., Puerto Rico Univ., Mayaguez, Puerto Rico
Volume
1
fYear
1997
fDate
3-8 Aug 1997
Firstpage
335
Abstract
A framework for SAR image classification is presented. The grey level co-occurrence method is used for classifying real SAR images. The Gabor transform of the SAR images are computed and the coefficients are used for classifications. The results of using these two methods are discussed
Keywords
geophysical signal processing; geophysical techniques; image classification; radar imaging; remote sensing by radar; synthetic aperture radar; Gabor based method; Gabor transform; SAR; geophysical measurement technique; grey level co-occurrence method; image classification; image processing; land surface; radar imaging; radar remote sensing; spaceborne radar; terrain mapping; Entropy; Feature extraction; Frequency domain analysis; Image classification; Image processing; Image resolution; Image segmentation; Signal processing; Spatial resolution; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing, 1997. IGARSS '97. Remote Sensing - A Scientific Vision for Sustainable Development., 1997 IEEE International
Print_ISBN
0-7803-3836-7
Type
conf
DOI
10.1109/IGARSS.1997.615878
Filename
615878
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