CAJ | 학술논문

SAR和可见光图像成像机理不同，图像差异较大，较难取得良好的融合效果。本文面向目标识别，通过分析图像的成像机理，首先在NSCT融合框架下，将SAR图像中重要的目标信息加入到可见光图像中，并尽可能多的保留源图像的边缘细节信息；再结合数学形态学和多尺度空间理论，提取源图像的亮、暗细节特征，进行特征级融合，得到亮、暗细节特征显著增强的融合图像。实验结果表明，本文算法有效的融合了SAR图像的目标信息，并增强了源图像的细节特征，达到了较好的视觉效果，提高了图像的目标检测和识别能力。
SAR화가견광도상성상궤리불동，도상차이교대，교난취득량호적융합효과。본문면향목표식별，통과분석도상적성상궤리，수선재NSCT융합광가하，장SAR도상중중요적목표신식가입도가견광도상중，병진가능다적보류원도상적변연세절신식；재결합수학형태학화다척도공간이론，제취원도상적량、암세절특정，진행특정급융합，득도량、암세절특정현저증강적융합도상。실험결과표명，본문산법유효적융합료SAR도상적목표신식，병증강료원도상적세절특정，체도료교호적시각효과，제고료도상적목표검측화식별능력。
Different imaging mechanism of Synthetic Aperture Radar (SAR) and visible images in the general fusion methods make it difficult to achieve good fusion effect. For the target recognition, firstly get fusion image by Nonsubsampled Contourlet Transform (NSCT) to fuse the important objective information of SAR image into visible image, and retain detail information as much as possible. Then, combine mathematical morphology with multiscale space theory to get the bright and dark detail features of the original images. Finally, obtain fused image with significantly enhanced bright and dark detail features. Experimental result shows that the proposed algorithm can effectively fuse target information of SAR image, enhance the detail features of the source image, achieve a better visual effect, and improve the capability of target detection and identification.