针对高分辨率遥感图像舰船目标识别问题，提出了一种基于支持向量机的舰船目标分类方法。

Aiming at recognizing ship target in high resolution satellite images, a classification method based on Support Vector Machine (SVM) is proposed.

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红外图像中的舰船目标识别是反舰导弹成像制导过程中的关键技术，舰船目标图像识别的质量和速度决定了制导过程的水平。

The ship target's recognition in the IR image is the key technique in the anti-warship missile guiding. The effort of the guiding progress depends on the quality and speed of the target recognizing.

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本文旨在通过以上研究，能够对声矢量信号中的线谱成分有充分的认识和提取到尽可能多的特征，从而进一步提高舰船目标识别率。

This paper aims to get enough knowledge of line spectrum in acoustic vector signal and extract as more features as possible so as to improve the recognition-rate of targets.

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