CAJ | 학술논문

提出了一种基于多阈值分割和无下采样Contourlet变换(nonsubsampled Contourlet transform, NSCT)的SAR与全色图像融合算法.首先对降斑SAR图像作多阈值分割,并定义了区域均值比量测算子将SAR图像进行区域划分;然后采用NSCT对降斑SAR图像和全色图像进行多尺度、多方向分解,分解后的低频部分根据区域均值比量测算子进行区域融合,高频部分则采用区域与窗口邻域相结合的融合策略;最后对融合系数进行重构得到融合图像.实验结果表明,该算法的融合图像既可保持全色图像的空间分辨率,又可有效获取SAR图像的目标信息,融合效果优于小波变换法以及基于像素的NSCT法.
제출료일충기우다역치분할화무하채양Contourlet변환(nonsubsampled Contourlet transform, NSCT)적SAR여전색도상융합산법.수선대강반SAR도상작다역치분할,병정의료구역균치비량측산자장SAR도상진행구역화분;연후채용NSCT대강반SAR도상화전색도상진행다척도、다방향분해,분해후적저빈부분근거구역균치비량측산자진행구역융합,고빈부분칙채용구역여창구린역상결합적융합책략;최후대융합계수진행중구득도융합도상.실험결과표명,해산법적융합도상기가보지전색도상적공간분변솔,우가유효획취SAR도상적목표신식,융합효과우우소파변환법이급기우상소적NSCT법.
An fusion algorithm for synthetic aperture radar (SAR) and panchromatic images based on multi-level threshold segmentation and the nonsubsampled Contourlet transform(NSCT) is proposed. Firstly, multi-level threshold segmentation is done for the despeckle SAR image, and the measurement named ratio of region mean(RRM) is presented to divide the SAR image into several regions. Then the NSCT is performed on the despeckle SAR image and the panchromatic image at different scales and directions. The low-frequency coefficients are fused with the region-based fusion scheme according to the RRM, and the high-frequency coefficients are fused with the windows-based rules and region-based rules. Finally the fused coefficients are reconstructed to obtain the fused image. Experimental results show that the fused image can not only preserves the spatial resolution of the panchromatic image but also effectively join the target information of the SAR image. The algorithm performs significantly better than the wavelet transform and the pixel-based NSCT.