基于非下采样轮廓波变换的红外和SAR图像融合算法  

Algorithm of Infrared and SAR Image Fusion Based on Non-Subsampled Contourlet Transform

作　　者：曹诗嘉 谭覃燕 王粉娟 张吉璇 王琳[1] CAO Shijia;TAN Qinyan;WANG Fenjuan;ZHANG Jixuan;WANG Lin(School of Optoelectronic Engineering,Xidian University,Xi'an 710071;Shanghai Aerospace Control Technology Institute,Shanghai 201109;Infrared Detection Technology Research&Development Center of CASC,Shanghai 201109;Chinese Flight Test Establishment,Xi'an 710089)

机构地区：[1]西安电子科技大学光电工程学院,西安710071 [2]上海航天控制技术研究所,上海201109 [3]中国航天科技集团有限公司红外探测技术研发中心,上海201109 [4]中国飞行试验研究院测试所,西安710089

出　　处：《飞控与探测》2023年第2期37-51,共15页Flight Control & Detection

基　　金：中国航天科技集团公司第八研究院产学研合作基金(SAST2021-008)。

摘　　要：针对现有红外和合成孔径雷达(Synthetic Aperture Radar,SAR)图像的融合算法融合质量差、边缘轮廓不清晰、效率低下、可视性差、目标检测效率低等问题,提出一种基于非下采样轮廓波变换的融合算法。首先采用非下采样轮廓波变换对预处理的红外和SAR图像进行分解,获得各自低频和带通方向图像,接着根据红外和SAR图像的特征选取其含重要目标信息的频带进行低频图像和带通方向图像融合。为了检验本文所提出算法性能的优越性,采用两组红外和SAR图像进行融合实验,与其他图像融合算法进行对比,并对融合图像进行目标检测,证明了该融合算法能有效提高多源图像目标检测率。Aiming at the problems of poor fusion quality,unclear edge contour,low efficiency,poor visibility and low target detection efficiency of the existing infrared and synthetic aperture radar(SAR)image fusion algorithms,a fusion algorithm based on non-subsampled contour wave transform was proposed.Firstly,the preprocessed infrared and SAR images are decomposed by non-subsampled contour wave transform to obtain the respective low-frequency and bandpass direction images.Then,according to the characteristics of infrared and SAR images,the frequency bands containing important target information are selected to fuse the low-frequency and bandpass direction images.In order to test the performance of the proposed algorithm,two groups of infrared and SAR images are used for fusion experiments,and compared with other image fusion algorithms.At the same time,the object detection is carried out on the fused image,which proves that the fusion algorithm can effectively improve the detection rate of multi-source images.

关 键 词：红外图像 SAR图像 融合 低通 带通 

分 类 号：TN911.73[电子电信—通信与信息系统] TP391.9[电子电信—信息与通信工程]