基于三值振幅-位相滤波器的红外景象匹配算法  

INFRARED SCENE MATCHING BASED ON TERNARY AMPLITUDE-PHASE FILTER

作　　者：秦琴[1] 柴震海[1] 傅艳红[1] 施海燕[1] 王汝笠[1] 

机构地区：[1]中国科学院上海技术物理研究所,上海200083

出　　处：《红外与毫米波学报》2005年第6期477-480,共4页Journal of Infrared and Millimeter Waves

摘　　要：针对传统的二元纯位相匹配滤波器进行光电混合景象匹配时存在信息丢失量大、识别困难的问题,提出了三值振幅-位相匹配滤波器算法.对红外景象匹配过程进行了计算机仿真实验,并与BPOF和ACMF匹配算法的相关结果进行对比.实验表明,三值振幅-位相匹配滤波算法提高了相关面的信噪比、相关峰锐度,增强了系统的抗噪声能力,进而有效地提高了景象匹配概率.Because the traditional binary phase-only matched filter （BPOF） has a great loss of information and difficulty in recognition in hybrid optronics scene matching system, ternary amplitude-phase filter （TAPF） was proposed here to try to solve these problems. The computer simulation of infrared scene matching was carried out and the performances of TAPF, BPOF and ACMF were compared. Experiment results show that TAPF can improve SNR and PCE of the correlation pin. So it can greatly enhance the anti-noise performance of the system, and then improve the probability of scene matching effectively.

关 键 词：景象匹配 匹配滤波器 红外图像 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]