为解决高光谱探测条件下的假目标光谱设计问题, 从特征空间中目标显著性的角度分析了假目标的设计原则。区别于其他目标探测, 高光谱目标探测是高维数据的处理过程, 目标显著性反映在数据经降维处理后形成的特征子空间中。据此提出的假目标设计原则如下。先在特征子空间内设计假目标, 使其一方面凸显自身, 另一方面则遮掩真目标。而后依据特征子空间与光谱通道的线性关系, 通过子空间中假目标与其他目标的相对位置确定假目标的光谱特性。对相关图像的检测表明, 这样设计的假目标能够有效降低真实目标的探测效果。相关结论对高光谱隐身技术有一定指导作用。

To deal with spectrum design for decoys under hyperspectral detection condition, the decoy spectrum design principles were analyzed in term of the feature significance. Different from other detection technologies, hyperspectral detection is a process of multi-dimensional data processing, and the target significance is embodied in feature space formed by dimensionality reduced data. Correspondingly, the proposed spectrum design method for decoys is as follows. The decoy is set in feature space, highlighting itself and shielding real target, and then the spectrum of the decoy is reduced by the relative relation between the decoy and other targets in feature space. The reduction is based on the linear relation between the feature space axis and the original data channels. Target detection results verified the effectiveness of the proposed decoy spectrum design method.