Classification of Textures in Sar Images Using Multi-channel Multi-resolution Filters
نویسندگان
چکیده
The paper presents texture classification using multichannel filters: Gabor filters and discrete wavelet transform. We have used a bank of 8 Gabor filters 2 wavelet filters: Daubeschies and Haar, for analyzing and classifying the textures in SAR images. The parameters of the Gabor filter bank are obtained using the energy measure of the response to the filters. The Fuzzy C-means classifier has been used for unsupervised segmentation. A combination of Gabor and wavelet features provides better performance.
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