自适应多波段偏振图像融合研究

为综合利用不同波段的偏振信息，以便有效地去除背景杂波的影响，提高目标检测的效果，提出一种基于伪彩色映射和窗口线偏振度熵为系数的自适应加权多波段偏振参量图像融合方法.该方法是根据目标和杂乱背景的特性及多波段成像偏振探测的基本原理，利用目标偏振特征的波长依赖性，不同波段偏振图像所反映场景信息的差异，同一波段Stokes参量图像之间的关系，以及线偏振度图像所反映的有关人造物与自然背景之间的关系.将其应用于不同真实场景下多波段偏振图像，仿真结果和评价指标表明，该方法在背景抑制方面取得了良好的效果.

Study of Adaptive Multi-band Polarization Image Fusion

To remove the clutter efficiently and detect the objects accurately,the information presented by multi-band polarization images should be combined.An adaptive weighting multi-band polarization images fusion method is proposed based on the false color mapping and the degree of linear polarization entropy to combine the information.The characters of object and background and the principles of multi-band imaging polarization are used in this method.At the same time,the relation between objects' spectral and polarization information,the information difference contained in polarization images in different band,the relations among Stokes' images in same band,and the information relation between object and background in the degree of linear polarization(DoLP) image are all used in this method.The background clutter is removed through combing Stokes'images and DoLP image in different band.In final simulation,this fusion method is used in different multi-band polarization images,the fusion results and evaluation index show that the background is removed efficiently.