多波段红外图像的差异纹理特征选择

Selection of Difference Texture Features for Multi-band Infrared Images

针对多波段红外图像纹理特征数目庞大,不易于对其成像差异进行综合分析的问题,提出了一种三级特征选择模型。首先采用两两比较的形式进行差异一致性检验,选择出差异分布规律一致的特征量;其次基于SPSS软件的独立样本检验功能进行差异显著性检验,剔除差异不显著的特征量;然后进行去相关性分析,相关度较高的特征用其中某个特征代替,其余特征保留。实验证明,经该模型选择出的少量特征能综合反映图像的特征差异,为其目标识别等提供参考。

In order to overcome the difficulty that texture feature space dimension of multi-band infrared images is large and hard to analyze its imaging differences synthetically,a three-level feature selection model was proposed.Firstly tested consistency in the form of two contrast,and it was selected the features that difference distribution laws were the same.Secondly,the function of independent sample test based on SPSS software was used to test difference significant degree,and the features whose differences that were not significant were eliminated.Then,the correlation of features was analyzed,and one of the features stood for the features with high correlation.At the same time,the rest of features were reserved.Experiments prove that a few features selected by this model can reflect features differences of image,and it will provide references for target recognition and so on.