纹理SAR图像的多分辨率分析和分类(英文)
Multiresolution Analysis and Classification of Textured SAR Image
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摘要: 应用小波变换研究纹理合成孔径雷达(SAR)图像的多分辨率分析和分类,首先应用树状结构的小波变换算法对一幅纹理SAR图像进行多分辨率分解,并对图像中的不同纹理类型进行定量分析,然后将金字塔结构的小波变换算法应用到图像的多分辨率分类,所得结果证明了小波变换在纹理SAR图像分类中的优越性。Abstract: This paper studies 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 multiresolution classification of the image.The classification result obtained demonstrates the advantage of the WT in the textured SAR image classification.