CAJ | 학술논문

为从冗杂的海量信息中提取出有效的特征数据和信息，对空中目标识别的目标特征进行研究。介绍目标跟踪识别系统，从搜索雷达的目标回波信号特征、目标光谱成像特征、目标姿态与运动特征、目标特征选择与融合等方面进行目标识别特征提取，生成图像与特征数据库，并对选取的目标特征进行多特征融合的识别精度验证。结果表明：提取与选择的目标特征在识别中取得较满意效果，能证明选取的空中目标特征在目标识别算法中的可靠性。
위종용잡적해량신식중제취출유효적특정수거화신식，대공중목표식별적목표특정진행연구。개소목표근종식별계통，종수색뢰체적목표회파신호특정、목표광보성상특정、목표자태여운동특정、목표특정선택여융합등방면진행목표식별특정제취，생성도상여특정수거고，병대선취적목표특정진행다특정융합적식별정도험증。결과표명：제취여선택적목표특정재식별중취득교만의효과，능증명선취적공중목표특정재목표식별산법중적가고성。
For extracting valid feature data and information from massive data, research on target feature of air target recognition. Introduce target tracing recognition system, carry out target recognition feature extraction from searching radar target echo signal feature, target spectral imaging feature, target gesture, motion feature, target feature selection and fusion. Create image and feature data base, and carry out multi-features fusion recognition accuracy validation for selected target feature. The results show that the extracted and selected target feature received great effect, the reliability of selected air target feature in target recognition method is proved.