For inverse synthetic aperture radar (ISAR), the multipath effects introduce two artifacts in its reconstructed images, which greatly hinders radar target recognition and classification.
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。
To make full use of the feature information of signals in feature extraction for target recognition and classification, this paper discusses establishment and feature compression of raw feature space.
为在特征提取中充分利用目标信号的特征信息，对原始特征空间的建立和特征压缩的过程进行了讨论。
Feature extraction builds up the basis of target classification and recognition.
特征提取是目标分类和识别的基础。
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