基于多种特征的红外目标识别技术研究

红外图像独特的热辐射特性,通常是由其各个子部件的红外热辐射特性所形成的。文中在传统红外热图像特征量的基础上,通过分析红外热图像自身特性以及它的形成与其自身姿态的关系,提出了对目标物体红外热图像基于目标姿态的子分类,并对目标红外热图像进行了子区域分割,通过多目标分类器进行识别,形成了新的红外图像特征量。

Research on Recognition for Infrared Object

The unique heat radiation of infrared image is generated from subcomponents.This paper analyses the natural feature of infrared image and the relationship between the shape and orientation with eigen vectors,gives the measure to classify infrared image based on object position to improve ability of compatibility in object recognition,moreover,applies the independent component for sub-region segmentation to construct new infrared image eigen vectors.The image features are processed by a support vector machine,and transform the binary SVM to multi-object classifier.