摘要
提出利用高光谱对哈密瓜坚实度进行检测的方法,对比分析了不同波段范围、不同预处理法、不同光程校正法和不同定量校正算法对哈密瓜坚实度预测模型准确度的影响.实验结果表明,在500～820nm波段光谱区域,采用偏最小二乘法对经过标准正则变换校正的一阶微分处理的光谱建模效果较优,其校正集相关系数为0.873,校正均方根误差为4.18N,预测集相关系数为0.646,预测均方根误差为6.40N.研究表明,应用高光谱对哈密瓜坚实度的无损检测研究具有可行性.
In order to detect firmness of hamimelon,a method based on hyper spectral imaging technique is proposed.Effects of different wave bands,different preprocessing methods,different spectral correction methods and different quantitative methods on the predictive accuracy of the model for firmness are compared and analyzed.Experimental results show that in the spectral region between 500 to 820 nm,the partial least square model of the first derivative spectrum processed by standard normal variate gives the best prediction of firmness,with a correction sample correlation coefficient of 0.873,a lower root mean square errors of correction of 4.18 N,a prediction sample correlation coefficient of 0.646 and a root mean square errors of prediction of 6.40 N.The research indicutes that the hyperspectral imaging technique can be used for the non-destructive detection of firmness of hami melon.
出处
《光子学报》
EI
CAS
CSCD
北大核心
2013年第5期592-595,共4页
Acta Photonica Sinica
基金
国家自然科学基金(No.61263041)
新疆兵团农业机械重点实验室开放课题(No.KFKT-200902)资助
关键词
光谱学
高光谱成像技术
无损检测
偏最小二乘法
坚实度
哈密瓜
Spectroscopy
Hyperspectral imaging technique
Non-destructive detection
Partial least square
Firmness
Hami melon
