一种全极化高分SAR与中分光学影像融合方法

摘要

针对全极化SAR(synthetic aperture radar,合成孔径雷达)与中分光学影像的融合问题,提出基于主成分分析(PCA)与HSV(hue,saturation,value,色调、饱和度、明度)色彩空间变换的遥感影像融合方法.对全极化SAR四个极化波段进行主成分分析,提取第一主成分,将中分光学影像变换到HSV空间,第一主成分替换V分量,用新的V分量逆变换到RGB空间,得到全极化SAR与中分光学的融合影像.通过利用Radarsat-2全极化SAR与TM/ETM+中分光学影像开展融合实验,结果表明,该方法优于传统融合方法(PCA变换、HSV变换、小波变换等)的单极化SAR与光学影像融合结果,能够有效利用全极化SAR的纹理信息,提高影像解译能力.%A method was proposed to solve the fusion problem of full polarimetric synthetic aperture radar (SAR) and moderate-resolution optical remote sensing image,based on principal components analysis (PCA) and HSV transform,where HSV stands for hue,saturation,and value.First,the four bands of full polarization SAR went through principal component analysis,and the first principal component was extracted.Second,moderate-resolution optical image was transformed into the HSV space,and the V component was replaced by the first principal component.Finally,the desired image was obtained by using inverse IHS transform.The experiment was performed using Radarsat-2 full polarimetric SAR and TM/ETM+ moderate-resolution optical image.A comparison of the proposed method with the fusion of single polarimetric SAR and optical image based on a traditional method (PCA transform,HSV transform,or wavelet transform) showed that the proposed method made effective use of the texture information of full polarimetric SAR and improved the capability of image interpretation.