用于一维图像识别的支撑矢量机方法

SUPPORT VECTOR MACHINE FOR 1-D IMAGE RECOGNITION

研究了支撑矢量机的分类机理 ,并利用支撑矢量机对雷达目标一维像进行了识别 .识别的结果表明了该方法的优越性 ,并显示它可以对残缺不全的样本进行识别 .

The classification mechanism of support vector machine (SVM) was analyzed in detail. The one-dimensional image of radar target was recognized by SVM. The results of the simulation show the advantage of SVM over other methods.