高分辨率全极化合成孔径雷达数据海冰二次分类方法研究

摘要

随着高分辨率全极化合成孔径雷达（synthetic aperture radar ，SAR）影像的大量出现，传统分类方法因所得分类结果中包含斑点噪声，导致分类精度大大降低，因而利用基于伴生关系的二次分类方法对辽东湾RADARSAT －2卫星的海冰SAR影像进行分类，并将所得分类结果与专家解译分类结果和经典的基于 H－α分解的Wishart监督分类结果进行对比，证明本方法可以消除斑点噪声的影响，同时具有较好的视觉效果和较高的分类精度。%Along with the appearance of a great deal of high-resolution quad-polarization synthetic aperture radar (SAR) images ,the traditional classification methods lead to worse results with lower classification precision due to the speckle. Therefore ,the object-based method based on the context has been used to classify the types of sea ice of RADARSAT -2 SAR image in the Liaodong Gulf. The classification result is compared with that of profession-al classification and Wishard supervised classification based on H -αdecomposition ,It is showed that this method can eliminate the speckle with better visual effect and higher classification precision .