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.
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.
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.
本文研究基于一维距离像的高分辨雷达目标识别方法。
This paper studies target recognition for high resolution radar by range profile.
讨论了马氏距离的性质，利用目标的一维距离像，提出了一种雷达目标识别方法。
The properties of Mahalanobis range were discussed in this paper. A Recognition method of radar target was proposed using range profile.
讨论了马氏距离的性质，利用目标的一维距离像，提出了一种雷达目标识别方法。
The properties of Mahalanobis range are discussed in this paper . A Recognition method of radar target is proposed using range profile.
文中将支撑矢量机的概念引入雷达的目标一维像识别中，对其机理作了详细地分析，建立了相应的支撑矢量机分类器算法。
A novel SVM for the radar target recognition is proposed in this paper, the mechanism of SVM is particularly analyzed and the classification algorithm is established.
将所提出的小波神经网络用于毫米波频率步进雷达目标一维距离像识别。
The wavelet neural network is applied in target identification of step frequency MMW radar. The results of experiment indicate that the method is valuable for target classification.
进而将两种SVD算法应用在特征子空间雷达目标一维距离像识别法中，使用实测数据对其进行速度验证和性能评估。
Then, the performance of two SVD algorithms and feature subspace radar target recognition algorithm based on SVD are evaluated according to real data of planes.
本文紧密结合“973项目”，研究高分辨一维距离像的雷达目标识别问题，提出了两种目标识别方法。
Tightly based on "Project 973", target recognition problems basing on High Resolution Radar Profile (HRRP) are discussed in the thesis, and two novel approaches of target recognition are proposed.
本文紧密结合“973项目”，研究高分辨一维距离像的雷达目标识别问题，提出了两种目标识别方法。
Tightly based on "Project 973", target recognition problems basing on High Resolution Radar Profile (HRRP) are discussed in the thesis, and two novel approaches of target recognition are proposed.
应用推荐