CAJ | 학술논문

　　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。
　　수착고분변솔전겁화합성공경뢰체（synthetic aperture radar ，SAR）영상적대량출현，전통분류방법인소득분류결과중포함반점조성，도치분류정도대대강저，인이이용기우반생관계적이차분류방법대료동만RADARSAT －2위성적해빙SAR영상진행분류，병장소득분류결과여전가해역분류결과화경전적기우 H－α분해적Wishart감독분류결과진행대비，증명본방법가이소제반점조성적영향，동시구유교호적시각효과화교고적분류정도。
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 .