Near-infrared diffuse reflectance spectrometry (NIRDRS) is an important technique for the measuring and analyzing of sample. NIRDRS has an advantage that the sample need not complex pretreatment, but the measurement of NIRDS is affected by physical properties of the sample, such as size and shape, packing, surface, and color [
1]. To overcome the negative effect, methods for scatter corrections have been developed, for example, multiplicative signal correction(MSC) [
2], piecewise multiplicative signal correction (PMSC) [
3], and standard normal variate (SNV) [
4]. These methods have been widely used in varied fields, such as agriculture, medical science, and food science [
5-
7]. But all these methods can only be employed for scatter corrections of spectra without any information about the sample. Due to the significant influence of physical property of sample on the NIR spectra, the analysis result could not be satisfied by using these methods.