Olive adulteration r epresents o ne o f the important I ssues o f p ublic c oncern I n China.A mong a ll t he identification methods of olive adulteration,two dimensional correlation Raman spectroscopy is paid much attention for its unique advantages of high sensitivity and accuracy.However,the conventional two dimensional correlation Raman methods can be easily affected by the spectral noise and background,resulting a poor resolution.We proposed a novel strategy with the fusion of 2-D modeling methods and multi-scale resolution,extracting information from two dimensional correlation spectra accurately.Our work has tested and refined the multi-scale strategy by drawing upon the s ystematic an alysis o f multiple s pectral d ata s ets t o yield ch allenges r epresentative o f t hose e ncountered I n common Raman spectral analysis of oil adulteration.Satisfactory calibration results suggest the multi-scale strategy is promising to obtain reliable identification of olive adulteration with higher spectral resolution.