针对SAR图像解译，SVM在图像滤波、图像分割、目标识别与分类、极化数据分类等过程中有很好的处理能力。

Aimed at SAR image interpretation, SVM shows good performance in image filtering, image segmentation, target discrimination and classification, as well as polarimetric SAR data classification.

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对于逆合成孔径雷达(ISAR)而言，多径效应会在ISAR的二维目标重建像上引入两个伪像，这将会影响雷达的目标识别与分类。

For inverse synthetic aperture radar (ISAR), the multipath effects introduce two artifacts in its reconstructed images, which greatly hinders radar target recognition and classification.

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本文研究了雷达目标识别过程中关于目标的编码、分类特征的提取与选择等问题。

A new method for extracting radar target pole features from its RCS is presented in this paper.

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