论文部分内容阅读
多光谱成像可以从背景中凸显出目标物,但微型多通道滤光片在不同通道之间存在光谱串扰问题,影响目标的识别。通过光谱串扰分析,建立光谱串扰模型,提出光谱串扰系数,通过灰度值统计的方法定量评价光谱串扰。对已加工的一种光谱串扰程度约为16.74%的微型多通道滤光片获取的多光谱图像进行了对比分析,经过串扰模型处理后的图像与原始图像相比,其对比度有了显著的提高。实验分析结果表明,该模型对评价多通道微型多光谱滤光片的光谱串扰具有很强的针对性,对提高多光谱图像目标识别效果明显。
Multi-spectral imaging can highlight the target from the background, but the micro-multi-channel filter crosstalk problems between different channels, affecting the target recognition. By spectral crosstalk analysis, the spectral crosstalk model is established, the spectral crosstalk coefficient is proposed, and the spectral crosstalk is quantitatively evaluated by the method of gray value statistics. The multi-spectral images acquired by a miniature multi-channel filter with a degree of spectral crosstalk of about 16.74% have been compared and analyzed. Compared with the original image, the contrast of the crosstalk model has been significantly improved . The experimental results show that the proposed model has strong pertinence to the evaluation of spectral crosstalk of multichannel multispectral filters, and has obvious effect on improving multispectral image recognition.