基于多分辨分析的红外/被动毫米波图像主成分融合  

Principal Component Fusion of IR/PMMW Image Based on Multiresolution Analysis

作　　者：叶银芳[1] 聂建英[1] 

机构地区：[1]福州大学数学与计算机科学学院,福州350108

出　　处：《电光与控制》2013年第9期6-9,共4页Electronics Optics & Control

基　　金：江苏省资源环境信息工程重点实验室基金(JS201104)

摘　　要：红外/毫米波(IR/MMW)复合制导是当前发展多模复合制导技术的热点方向。针对红外探测系统在低能见度条件下穿透能力有限,而被动毫米波探测虽然穿透能力较强、但图像分辨率不高的问题,为了更好地进行红外与被动毫米波图像融合,使得复合探测器能够全天候工作,提出一种新的基于多分辨分析的主成分融合方法(M-P)。利用多分辨分析可以按图像的分辨率空间很好地处理信息的优势,M-P融合方法首先对红外与被动毫米波探测的坦克群图像进行分解去噪;对重构后图像分别进行主成分变换;用高分辨率图像的第1主分量代替低分辨率图像的第1主分量;最后做逆主分量变换来得到最终的融合图像。实验仿真结果表明,与PCA方法比较,新方法融合得到的图像能更好地区分坦克群目标和地物背景。Infrared/millimeter wave（IR /MMW） composite guidance is a hot direction of current development in the field of multi-mode composite guidance technology.In view of the limited penetrability of infrared detection system under low visibility condition and the low resolution of passive millimeter wave detection image, we put forward a new MRA-based PCA（M-P） fusion method in order to better fuse the images of IR and the PMMW and to enable the composite seeker with all-weather operations.By using the advantage of multiresolution analysis that it can solve the information according to the resolution of the image space, the M-P fusion method denoises the infrared and passive millimeter wave detection tank group images, and transforms the reconstructed images with PCA respectively.Then, the first principal component of low resolution image is replaced by that of high resolution image.Finally, inverse PCA transform is made to obtain the fusion image.The experiment indicates that compared with PCA, the new fusion method can better distinguish the tank group objects from the surface features.

关 键 词：红外 被动毫米波复合制导 图像融合 多分辨分析 主成分分析 

分 类 号：V271.4[航空宇航科学与技术—飞行器设计] TN955[电子电信—信号与信息处理]