为提高伪装目标识别的准确性, 提出将光谱信息与偏振信息相融合的伪装目标识别方法。基于液晶可调谐滤光片(LCTF)搭建了偏振光谱成像系统, 通过实验对绿色植物中隐藏的假植株进行偏振光谱探测实验。利用主成分分析法(PCA)对各偏振方向的目标光谱图像进行波段选择, 获取对应的光谱融合图像后进行偏振度计算, 最终得到被测目标的偏振光谱融合图像。实验结果表明: 得到的偏振光谱融合图像与光谱融合图像相比, 信息熵提高了72%, 平均梯度提高了250%。

In order to improve the accuracy of recognition of camouflaged target, the method of camouflage target recognition based on the fusion of spectral and polarization information was proposed. A polarization spectral imaging system based on liquid crystal tunable filter(LCTF)was constructed. The polarization spectral detecting experiment of plants was conducted by the system. Band selection for the target spectral image of each polarization direction was conducted by the principal component analysis (PCA). The degree of polarization of spectral fusion image was calculated, and the polarization spectral fusion image was finally obtained. The result shows that, compared with the spectral fusion image, the information entropy of polarization spectral fusion image improves by 72%, and the average gradient improves by 250%.