DocumentCode
326296
Title
On the use of transform features for SAR image classification
Author
Manian, Vidya ; Vasquez, R.
Author_Institution
Dept. of Electr. & Comput. Eng., Puerto Rico Univ., Mayaguez, Puerto Rico
Volume
2
fYear
1998
fDate
6-10 Jul 1998
Firstpage
1068
Abstract
Transform features are used for classification of regions in SAR images. The three sets of features are based on Fourier transform, wavelet transform and logical transform. Experiments are conducted and the performance of the features are compared. The best results are obtained with wavelet and logical transform features
Keywords
Fourier transforms; geophysical signal processing; geophysical techniques; image classification; radar imaging; remote sensing by radar; synthetic aperture radar; transforms; wavelet transforms; Fourier transform; SAR; geophysical measurement technique; image classification; image region analysis; land surface; logical transform; radar imaging; radar remote sensing; synthetic aperture radar; terrain mapping; transform feature; wavelet transform; Error correction; Error correction codes; Feature extraction; Fourier transforms; Frequency; Geometry; Image classification; Image segmentation; Sampling methods; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International
Conference_Location
Seattle, WA
Print_ISBN
0-7803-4403-0
Type
conf
DOI
10.1109/IGARSS.1998.699675
Filename
699675
Link To Document