Sensitive Wavelengths Selection in Identification of Ophiopogon japonicus Based on Near-Infrared Hyperspectral Imaging Technology
المؤلفون المشاركون
Zhang, Chu
Xia, Zhengyan
Weng, Haiyong
Nie, Pengcheng
He, Yong
المصدر
International Journal of Analytical Chemistry
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-08-27
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
Hyperspectral imaging (HSI) technology has increasingly been applied as an analytical tool in fields of agricultural, food, and Traditional Chinese Medicine over the past few years.
The HSI spectrum of a sample is typically achieved by a spectroradiometer at hundreds of wavelengths.
In recent years, considerable effort has been made towards identifying wavelengths (variables) that contribute useful information.
Wavelengths selection is a critical step in data analysis for Raman, NIRS, or HSI spectroscopy.
In this study, the performances of 10 different wavelength selection methods for the discrimination of Ophiopogon japonicus of different origin were compared.
The wavelength selection algorithms tested include successive projections algorithm (SPA), loading weights (LW), regression coefficients (RC), uninformative variable elimination (UVE), UVE-SPA, competitive adaptive reweighted sampling (CARS), interval partial least squares regression (iPLS), backward iPLS (BiPLS), forward iPLS (FiPLS), and genetic algorithms (GA-PLS).
One linear technique (partial least squares-discriminant analysis) was established for the evaluation of identification.
And a nonlinear calibration model, support vector machine (SVM), was also provided for comparison.
The results indicate that wavelengths selection methods are tools to identify more concise and effective spectral data and play important roles in the multivariate analysis, which can be used for subsequent modeling analysis.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Xia, Zhengyan& Zhang, Chu& Weng, Haiyong& Nie, Pengcheng& He, Yong. 2017. Sensitive Wavelengths Selection in Identification of Ophiopogon japonicus Based on Near-Infrared Hyperspectral Imaging Technology. International Journal of Analytical Chemistry،Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1157582
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Xia, Zhengyan…[et al.]. Sensitive Wavelengths Selection in Identification of Ophiopogon japonicus Based on Near-Infrared Hyperspectral Imaging Technology. International Journal of Analytical Chemistry No. 2017 (2017), pp.1-11.
https://search.emarefa.net/detail/BIM-1157582
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Xia, Zhengyan& Zhang, Chu& Weng, Haiyong& Nie, Pengcheng& He, Yong. Sensitive Wavelengths Selection in Identification of Ophiopogon japonicus Based on Near-Infrared Hyperspectral Imaging Technology. International Journal of Analytical Chemistry. 2017. Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1157582
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1157582
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر