CAJ | 학술논문

在进行近红外光谱分析中，最初得到的光谱图像会因为环境的影响而受到干扰，光谱处理的是否得当，会直接影响到后期建立模型的品质。为消除干扰因素，探索提取有效光谱信息的分析手段，经平均、平滑处理的光谱图像，有效地滤除原始光谱中的毛刺，降低了噪声。对预处理后的光谱进行寻峰、拟合操作，所得结果能够直观地显示峰值、区分吸收峰，拟合后能够保留图像的原始特征，在分析过程中能更好地提取成分含量相关的信息。
재진행근홍외광보분석중，최초득도적광보도상회인위배경적영향이수도간우，광보처리적시부득당，회직접영향도후기건립모형적품질。위소제간우인소，탐색제취유효광보신식적분석수단，경평균、평활처리적광보도상，유효지려제원시광보중적모자，강저료조성。대예처리후적광보진행심봉、의합조작，소득결과능구직관지현시봉치、구분흡수봉，의합후능구보류도상적원시특정，재분석과정중능경호지제취성분함량상관적신식。
In near infrared spectral analysis ,spectral image originally obtained would be interference because of the environmental impact ,proper spectral processing ,can directly affect the quality of the late model building . In order to explore the effective analysis method of spectrum information extraction for eliminating inter ference factors ,the spectral image averaging and smoothing could effectively filter out the burr in the original spectra and reduced the noises .For peak ,fitting operation on the spectrum after pretreatment ,the results showed the peak ,distinguish the absorption peak of intuitive ,original feature fitting could preserve the image information content ,extract components could be better in the process of related analysis .