As a type of one-class classification algorithm, Support Vector Data Description (SVDD) was used to distinguish target objects from outlier objects.
支持向量域数据描述(SVDD)是一种单值分类算法,用于将目标样本与其他非目标样本区分开来。
Targets threat evaluation is the important basis of the target distribution, and guarantees to distinguish the order of importance and urgency, and to provide basis for the decision-making.
目标威胁评估是目标分配的重要依据,是区分目标的轻重缓急,为多目标攻击决策提供依据的保证。
The rationale of the measurement is to use range and doppler resolution so as to distinguish various reflecting points of a moving target.
其基本原理是利用了距离,多普勒分辨力来分离散射点,以使视角平面内目标的边界尺寸可以测量。
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