传感技术学报2017，Vol.30Issue(2)：326-330,5.DOI:10.3969/j.issn.1004-1699.2017.02.027
基于Wollaston棱镜阵列的目标识别系统
Based on Wollaston Prism Array Polarization SpectroscopyTarget Identification System
摘要
Abstract
The main disadvantages of traditional target recognition methods are:low recognition rate,easily interference by the environment,non-real time and so on.In order to improve the ability to identify the target,based on Wollaston prism array polarization spectrum imaging system was designed.In order to effectively detect a weak signal field goal,a high flux of optical antenna,polarization modules and interference module were used for the system.In order to meet requirements for real-time acquisition and high stability,the fully static optics devices were used for polarization module and interference modulation.The system consists of polarization imaging module and spectral imaging module.Polarization Images of 4 directions and spectrum image can be collected simultaneously,and polarized spectrum image was rebuilt by image fusion algorithm in measurement region.In the experiment,plates and a certain type of gun was used as the test target at different test distance,the polarization module of the system was compare with conventional non-polarized system.Experimental results show that the signal to noise ratio(SNR)of the polarization target identification system is high,and the affected by the distance is small.Based on this experiment,polarization identification image and spectrum identification image was fused,to constitute polarization spectrum image.Compared with conventional object recognition image,the composite image of target is clearly visible.It 's not easily affected by the environment,and its detection distance is very far away.It has high adaptability field and stability.关键词
目标识别/偏振光谱图像/沃拉斯顿棱镜阵列/信噪比Key words
target recognition/polarized spectral image/Wollaston prism array/SNR分类
机械制造引用本文复制引用
王美娇,孙琪,李美萱..基于Wollaston棱镜阵列的目标识别系统[J].传感技术学报,2017,30(2):326-330,5.基金项目
总装国防科技基金项目(9140C120402120C12055) （9140C120402120C12055）
国家自然科学基金项目(61171179) （61171179）
