Soil heavy metal pollution poses a serious threat to human health.As one of the fast,efficient and non-destructive methods for monitoring and analyzing soil heavy metal concentration data,hyperspectral remote sensing method is gradually developing.In this paper,the hyperspectral inversion study in the southwest of Xiong’an New District was carried out for cadmium,which has the greatest potential ecological risk and the strongest activity and is easy to be absorbed by plants.426 soil samples were collected for impurity removal,air drying and sieving.The heavy metal content was measured in the laboratory, and the spectrum of 350~2500nm was measured by SVC portable ground spectrometer.Savitzky—Golay convolution smoothing method is used for spectral denoising and smoothing.Because the baseline effect and drift phenomenon may be caused by the difference of particle size rather than chemical composition,in order to enhance the spectral difference and the shape of spectral curve,the data were transformed by several mathematical transformations such as Standard Normal Variable Transformation (SNV),First-Order Differential (FD), Second-Order Differential(SD),Multiplicative Scattering Correction(MSC).And the correlations between the transformed spectrum and Cd content were analyzed.In this paper,a method of integrating Random Mutation(RM)—Kennard—Stone(KS)—Partial Least Squares Regression(PLSR)is proposed.For the transformed samples spectrum and Cd content set,the first step is to divide the samples set into 70% training set and 30% verification set by using RM—KS method,so that the number of samples is evenly distributed with the properties and covers the whole sample space;In the second step,the PLSR method combined with cross validation is used to establish the regression model,and the parameters such as determination coefficient R2,root mean square error (RMSE),ratio of percent deviation (RP),ratio of error range (RER) are used to carry out the model evaluation.If the expected situation is not achieved,return to the first step and iterate until the optimal effect is achieved.The results show that the optimal method for retrieving Cadmium concentration is the model established by using FD transformation,iterative integration of RM—KS sample selection and PLS regression.The comprehensive verification effect is the best,with 11 principal components,and the parameters R2 of 0.909,RMSE of 0.604,RPD of 2.696 and RER of 15.516.The research results can provide technical support for rapid and non-destructive retrieval of soil heavy metal Cd content in similar areas.