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Multiresolution analysis and classification of the textured SAR image with wavelet transform

This paper studies on the multiresolution analysis and classification of the textured synthetic aperture radar (SAR) image using the wavelet transform (WT). The tree- structured WT algorithm is first employed to decompose a real-world textured SAR image, and to quantify different texture types in the image. Then, the pyramid-structured WT algorithm is applied in the multiresolution classification of the image. The classification result obtained demonstrates the advantage of the WT in the textured SAR image classification.