CAJ | 학술논문

为了融合光谱形状差异信息和多项式核函数全局信息，充分挖掘地物特征，提高异常检测正确率，提出了一种加权组合核RX算法。该算法在高斯核函数的基础上，增加一个光谱角核函数。由于核函数参量和加权参量直接影响算法性能，分别采用了随机函数法、爬山法和粒子群算法对上述参量进行了选择。结果表明，在恒虚警率下使用粒子群算法进行参量设定得到的效果最好，且采用加权组合核函数RX算法得到的目标检测率为83．5％，相对于普通的核RX算法，正确率得到了提高。
위료융합광보형상차이신식화다항식핵함수전국신식，충분알굴지물특정，제고이상검측정학솔，제출료일충가권조합핵RX산법。해산법재고사핵함수적기출상，증가일개광보각핵함수。유우핵함수삼량화가권삼량직접영향산법성능，분별채용료수궤함수법、파산법화입자군산법대상술삼량진행료선택。결과표명，재항허경솔하사용입자군산법진행삼량설정득도적효과최호，차채용가권조합핵함수RX산법득도적목표검측솔위83．5％，상대우보통적핵RX산법，정학솔득도료제고。
In order to combine the spectral shape difference information and the polynomial kernel function global information , exploit the object feature fully and improve the accuracy of anomaly detection , anomaly detection method was proposed based on weighted combination kernel RX algorithm .A spectral angle kernel function was added to Gaussian kernel function in the anomaly detection method .Because the kernels ’ parameter and the weighting parameter will affect the efficiency of the algorithm , the random function selection , the hill climbing method and the particle swarm optimization algorithm were implemented for setting the above parameters .Experiment results show that at a constant false alarm rate , it is the best to set the parameters by means of the particle swarm algorithm .Target detection rate is 83.5% by using the weighted combination kernel RX algorithm, higher than that by means of the traditional kernel RX algorithm .