基于偏振信息融合的背景抑制方法评价

与红外强度图像相比,单一的偏振度或偏振角图像在提升图像信杂比方面并无明显优势。为综合利用偏振图像的多维信息进一步提升图像信杂比,在分析典型背景下目标偏振度与偏振角联合分布特性的基础上,以偏振度作为偏振角信息的权值参考,提出了一种基于偏振信息融合的红外图像背景抑制方法,并将其应用于复杂云层或海面背景下的红外目标检测,给出了相应的算法流程。实验结果表明:与红外强度图像相比,所提出的基于偏振信息融合的背景抑制方法能大幅提升图像信杂比。该方法简单有效,易于实现,可应用于基于红外偏振成像的目标探测或精确制导领域。

Evaluation of Background Suppression Method Based on Polarization Information Fusion

Compared to the infrared intensity image, the single polarization degree or angle image has no obvious advantage in improving image signal-to-clutter ratio. To further improve image signal-to-clutter ratio by use of multidimensional information of the polarized image, the joint distribution of polarization degree and polarization angle in the typical background is analyzed first. Then, by taking polarization degree as the weight of the polarization angle, a background suppression method based on polarization information fusion is proposed. The background suppression method can be used for infrared target detection in the complex background of clouds or sea surfaces. The corresponding algorithm flow is given. The experimental results show that compared to the infrared intensity image, the signal-to-clutter ratio of the image obtained by the proposed method is improved significantly. This method is simple, effective and easy to implement. It can be applied to the field of target detection or precision guidance.