Matches in SemOpenAlex for { <https://semopenalex.org/work/W4310783149> ?p ?o ?g. }
Showing items 1 to 65 of
65
with 100 items per page.
- W4310783149 endingPage "6033" @default.
- W4310783149 startingPage "6027" @default.
- W4310783149 abstract "In order to realize rapid and non-destructive identification of the origin of Gardeniae Fructus, a technical method based on hyperspectral imaging technology was established in this study. Spectral information of Gardeniae Fructus samples from eight production origins was acquired from visible NIR(410-990 nm, VNIR) and short wavelength NIR(950-2 500 nm, SWIR) bands based on hyperspectral imaging techniques. The average spectral reflectance within the region of interest was extracted and calculated using the ENVI 5.3 software, resulting in 1 600 sample data. The visible short wavelength infrared band(fused bands) spectral data covering the range 410-2 500 nm were obtained after combining the spectral data of VNIR and SWIR. Data were de-noised by five common preprocessing methods, including multivariate scatter correction, Savitzky-Golay smoothing, standard normal variate, first derivative(FD), and second derivative from VNIR, SWIR, and fused bands(VNIR+SWIR). Partial least squares discriminant analysis, linear support vector classification(LinearSVC), and random forest were used to establish the model for origin identification of Gardeniae Fructus. The results indicated that the identification model of Gardeniae Fructus origin established after FD pretreatment of the spectral data in the fused bands could yield good results. According to the confusion matrix evaluation results, the model prediction set using LinearSVC reached 100% accuracy, so the optimum identification model of Gardeniae Fructus origin was determined as fusion bands-FD-LinearSVC. Therefore, the hyperspectral imaging technology can achieve rapid, nondestructive, and accurate identification of Gardeniae Fructus samples of different origins, which provides a technical reference for the differential detection of Gardeniae Fructus and other Chinese medicines." @default.
- W4310783149 created "2022-12-17" @default.
- W4310783149 creator A5007795919 @default.
- W4310783149 creator A5052166911 @default.
- W4310783149 creator A5090366405 @default.
- W4310783149 creator A5091240231 @default.
- W4310783149 date "2022-11-01" @default.
- W4310783149 modified "2023-10-13" @default.
- W4310783149 title "[Origin identification of Gardeniae Fructus based on hyperspectral imaging technology]." @default.
- W4310783149 doi "https://doi.org/10.19540/j.cnki.cjcmm.20220809.103" @default.
- W4310783149 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36471926" @default.
- W4310783149 hasPublicationYear "2022" @default.
- W4310783149 type Work @default.
- W4310783149 citedByCount "0" @default.
- W4310783149 crossrefType "journal-article" @default.
- W4310783149 hasAuthorship W4310783149A5007795919 @default.
- W4310783149 hasAuthorship W4310783149A5052166911 @default.
- W4310783149 hasAuthorship W4310783149A5090366405 @default.
- W4310783149 hasAuthorship W4310783149A5091240231 @default.
- W4310783149 hasConcept C105795698 @default.
- W4310783149 hasConcept C114700698 @default.
- W4310783149 hasConcept C127313418 @default.
- W4310783149 hasConcept C153180895 @default.
- W4310783149 hasConcept C154945302 @default.
- W4310783149 hasConcept C159078339 @default.
- W4310783149 hasConcept C22354355 @default.
- W4310783149 hasConcept C33923547 @default.
- W4310783149 hasConcept C34736171 @default.
- W4310783149 hasConcept C41008148 @default.
- W4310783149 hasConcept C5457282 @default.
- W4310783149 hasConcept C62649853 @default.
- W4310783149 hasConcept C78660771 @default.
- W4310783149 hasConceptScore W4310783149C105795698 @default.
- W4310783149 hasConceptScore W4310783149C114700698 @default.
- W4310783149 hasConceptScore W4310783149C127313418 @default.
- W4310783149 hasConceptScore W4310783149C153180895 @default.
- W4310783149 hasConceptScore W4310783149C154945302 @default.
- W4310783149 hasConceptScore W4310783149C159078339 @default.
- W4310783149 hasConceptScore W4310783149C22354355 @default.
- W4310783149 hasConceptScore W4310783149C33923547 @default.
- W4310783149 hasConceptScore W4310783149C34736171 @default.
- W4310783149 hasConceptScore W4310783149C41008148 @default.
- W4310783149 hasConceptScore W4310783149C5457282 @default.
- W4310783149 hasConceptScore W4310783149C62649853 @default.
- W4310783149 hasConceptScore W4310783149C78660771 @default.
- W4310783149 hasIssue "22" @default.
- W4310783149 hasLocation W43107831491 @default.
- W4310783149 hasOpenAccess W4310783149 @default.
- W4310783149 hasPrimaryLocation W43107831491 @default.
- W4310783149 hasRelatedWork W1970182127 @default.
- W4310783149 hasRelatedWork W2025039112 @default.
- W4310783149 hasRelatedWork W2110844826 @default.
- W4310783149 hasRelatedWork W2161795214 @default.
- W4310783149 hasRelatedWork W2366465996 @default.
- W4310783149 hasRelatedWork W2394932846 @default.
- W4310783149 hasRelatedWork W2465509361 @default.
- W4310783149 hasRelatedWork W2965345716 @default.
- W4310783149 hasRelatedWork W3135832659 @default.
- W4310783149 hasRelatedWork W4248074910 @default.
- W4310783149 hasVolume "47" @default.
- W4310783149 isParatext "false" @default.
- W4310783149 isRetracted "false" @default.
- W4310783149 workType "article" @default.