提出了一种基于红外多光谱图像相关性的自动目标识别新算法.根据目标、背景和干扰物的红外多光谱特征信息(辐射强度、光谱分布)构造出目标场景的红外多光谱特征矩阵;采用最大距离法分割图像,融合空间和光谱信息重构出研判目标的红外多光谱特征矩阵;根据研判目标的光谱辐射差异特性建立了红外多光谱图像相关识别准则.实验表明,该识别算法正确可行.

new automatic target recognition algorithm based on infrared multispectral imagery correlation (IMIC) is presented. According to infrared multispectral characteristic information (such as radiation intensity and spectral distribution) of targets, background and decoys, an infrared multispectral eigenmatrix of scenario is constructed. An infrared multispectral eigenmatrix of interesting targets is reconstructed after segmenting image by maximum-error-method and fusing target information of space and spectrum. An infrared multispectral imagery correlation recognition method is formulated in terms of spectral radiation difference of interesting targets. Digital simulation experiment result verifies that the algorithm is proper and feasible