一种结合AOTF的偏振光谱目标检测算法

Target detection algorithm of polarized hyperspectral combined with AOTF

针对高光谱图像目标检测算法对目标先验信息敏感度过高的问题,提出了一种偏振高光谱图像约束能量最小化目标检测方法。从基于声光可调谐滤光器(AOTF)的光谱成像仪工作原理及系统结构入手,在约束能量最小化目标检测算法(CEM)中采用经过处理的偏振高光谱数据代替原始高光谱图像数据作为检测样本,并对检测结果进行连通区域判断及轮廓提取处理。利用AOTF偏振成像系统采集到的偏振光谱数据进行目标检测实验,结果表明,替换样本数据后的目标检测算法检测精度显著提高。

In view of the problem that the target detection algorithm of hyperspectral image is highly susceptible to the prior target information,the author puts forward a target detection algorithm based on constrained energy minimization(CEM)of polarized hyperspectral image.Starting with the working principle and system structure of spectral imager based on acousto-optic tunable filter(AOTF),the author replaces the original hyperspectral image data with the processed polarized hyperspectral data as samples in the target detection algorithm on constrained energy minimization(CEM),and makes the connected region judgement and the contour extraction on processing of the detection results.The polarization spectrum data collected by AOTF polarization imaging system is used for target detection experiments.Results show that the detection accuracy of the target detection algorithm is significantly improved after replacing the sample data.