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.
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.
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.
结果表明，多特征信息融合的目标识别方法具有良好的稳定性，准确性和可靠性，能够有效地提高图象分类识别系统的精确度与容错性。
The final results indicate that the Multi-feature fusion method is stable, reliable, and can efficiently improve the accuracy and the ability of fault tolerance.
在步态识别中，完整的人体轮廓是特征提取、特征表达、目标分类与目标识别等后期处理的前提条件。
In gait recognition, effective extraction of human contour is a prerequisite of subsequent processing including feature extraction, feature expression, target classification and target recognition.
在步态识别中，完整的人体轮廓是特征提取、特征表达、目标分类与目标识别等后期处理的前提条件。
In gait recognition, effective extraction of human contour is a prerequisite of subsequent processing including feature extraction, feature expression, target classification and target recognition.
应用推荐