On the use of transform features for SAR image classification

On the use of transform features for SAR image classification

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 logi...

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Bibliographic Details
Published in:IGARSS '98. Sensing and Managing the Environment. 1998 IEEE International Geoscience and Remote Sensing. Symposium Proceedings. (Cat. No.98CH36174) Vol. 2; pp. 1068 - 1070 vol.2
Main Authors: Manian, V., Vasquez, R.
Format: Conference Proceeding
Language:English
Published: IEEE 1998
Subjects:
Error correction
Error correction codes
Feature extraction
Fourier transforms
Frequency
Geometry
Image classification
Image segmentation
Sampling methods
Wavelet transforms
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Summary: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.
ISBN:9780780344037
0780344030
DOI:10.1109/IGARSS.1998.699675