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

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。

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.