基于小波变换的多方位角SAR图像融合方法
发布时间：2018-11-22 08:06
【摘要】：针对目标散射特性空变效应以及多方位角图像信息冗余的问题,提出了一种基于小波变换和边缘检测的多方位角SAR图像融合方法。首先,将图像进行小波变换,完成低频信息和高频信息的分离,实现图像的多分辨表征及序贯图像多方位角信息的融合;然后,利用改进的Robinson算子增强图像的轮廓特征;最后,融合实验和定量评估结果证明了本文所提融合方法的有效性。
[Abstract]:A multi-azimuth SAR image fusion method based on wavelet transform and edge detection is proposed to solve the problem of spatial variable effect of target scattering and redundancy of multi-azimuth image information. Firstly, the wavelet transform is used to separate the low-frequency information from the high-frequency information, and the multi-resolution representation of the image and the fusion of the multi-azimuth information of the sequential image are realized. Then, the contour feature of the image is enhanced by the improved Robinson operator. Finally, the fusion experiments and quantitative evaluation results show the effectiveness of the proposed fusion method.
【作者单位】： 北京航空航天大学电子信息工程学院;北京电子工程总体研究所;
【基金】：装备预研基金(A210301HK01043)~~
【分类号】：TN957.52
[Abstract]:A multi-azimuth SAR image fusion method based on wavelet transform and edge detection is proposed to solve the problem of spatial variable effect of target scattering and redundancy of multi-azimuth image information. Firstly, the wavelet transform is used to separate the low-frequency information from the high-frequency information, and the multi-resolution representation of the image and the fusion of the multi-azimuth information of the sequential image are realized. Then, the contour feature of the image is enhanced by the improved Robinson operator. Finally, the fusion experiments and quantitative evaluation results show the effectiveness of the proposed fusion method.
【作者单位】： 北京航空航天大学电子信息工程学院;北京电子工程总体研究所;
【基金】：装备预研基金(A210301HK01043)~~
【分类号】：TN957.52
【相似文献】
相关期刊论文 前10条
1 王波，
本文编号：2348627
本文链接：https://www.wllwen.com/kejilunwen/xinxigongchenglunwen/2348627.html
