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。

The classification mechanism of support vector machine (SVM) was analyzed in detail. The one dimensional image of radar target was recognized by SVM.

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针对激光雷达一维距离像的目标识别，提出了利用最小二乘估计器和线性滑动更新器构造滤波器的算法。

A new arithmetic approach to the target identification of lidar range image was introduced by using the least squares estimation and linear glide updater for the design of a filter.

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而后，基于全极化高分辨雷达，提出了一种利用目标极化信息一维距离像的综合识别方法。

Then, a fusion recognition method was proposed using polarized information of target under the high range resolution fully polarized radar.

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