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[Research on Assessment Methods of Spectrum Data Quality of Core Scan].
Guang Pu Xue Yu Guang Pu Fen Xi ; 35(8): 2352-6, 2015 Aug.
Article em Zh | MEDLINE | ID: mdl-26672324
Core scan is the instrument used for core spectrum and pictures detection that has been developed in recent years. Cores' data can be digitized with this equipment, then automatic core catalog can be achieved, which provides basis for geological research, mineral deposit study and peripheral deposit prospecting. Meanwhile, an online database of cores can be established by the means of core digitalization to solve the cost problem caused by core preservation and share resources. Quality of core data measurement directly affects the mineral identification, reliability of parameter inversion results. Therefore it's very important to quasi-manage the assessment of data quality with the instrument before cores' spectrum testing services. Combined with the independent R&D of CSD350A type core scan, and on the basis of spectroscopy basic theory, spectrum analysis methods, core spectrum analysis requirements, key issues such as data quality assessment methods, evaluation criteria and target parameters has been discussed in depth, and comprehensive assessment of independent R&D of core scan has been conducted, which indicates the reliability and validity of spectrum measurements of the instrument. Experimental tests show that the methods including test parameters and items can perfectly response the measurements of reflectance spectrum, wavelength accuracy, repeatability and signal to noise ratio with the instrument. Thus the quality of core scan data can be evaluated correctly, and the foundation of data quality for commercial services can be provided. In the case of the current lack of relevant assessment criteria, the method this study proposes for the assessment has great value in the work of core spectrum measurements.
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Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: Zh Ano de publicação: 2015 Tipo de documento: Article
Buscar no Google
Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: Zh Ano de publicação: 2015 Tipo de documento: Article